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    <title>Our Shared Ethical Compass - Ethics and Journalism</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[Keynote address of the Peter F. Collier Awards for Ethics in Journalism, April 15, 2026 delivered by Marty Baron, acclaimed former executive editor of The Washington Post and The Boston Globe]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[The papers’ watermarks allowed organizers to detect use of large language models in peer review.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[The verification tricks that would make fact-checkers weep with joy.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[How a new initiative from Google, OpenAI, Discord and others could transform trust and safety]]></description>
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    <link>https://www.geekwire.com/2024/ai-overwhelmingly-prefers-white-and-male-job-candidates-in-new-test-of-resume-screening-bias/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Kyra Wilson, left, University of Washington doctoral student in the Information School and Aylin Caliskan, a UW assistant professor in the iSchool. (UW]]></description>
<dc:subject>machine_learning ethics bias</dc:subject>
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    <title>GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation | HKS Misinformation Review</title>
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    <link>https://misinforeview.hks.harvard.edu/article/gpt-fabricated-scientific-papers-on-google-scholar-key-features-spread-and-implications-for-preempting-evidence-manipulation/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics</dc:subject>
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    <title>Are Your Morals Too Good to Be True? — The New Yorker</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[Scientists have shattered our self-image as principled beings, motivated by moral truths. Some wonder whether our ideals can survive the blow to our vanity.  
https://apple.news/AYf9i4UFxQfu86ca4hgB1Kw]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[Martin Bernklau is a German journalist who reported for decades on criminal trials. He looked himself up on Bing, which suggests you use its Copilot AI. Copilot then listed a string of crimes Bernk…]]></description>
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<item rdf:about="https://www.404media.co/i-paid-365-63-to-replace-404-media-with-ai/">
    <title>I Paid $365.63 to Replace 404 Media With AI</title>
    <dc:date>2024-06-27T13:30:44+00:00</dc:date>
    <link>https://www.404media.co/i-paid-365-63-to-replace-404-media-with-ai/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[We spent $365 to build an AI news site that publishes 50 times a day, plagiarizes directly from our original reporting, uses services like Fiverr and popular WordPress plugins, is SEO optimized for Google and Adsense & breaks the rules of none of them

https://www.404media.co/i-paid-365-63-to-replace-404-media-with-ai/]]></description>
<dc:subject>machine_learning journalism ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:899e9d9c5971/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:journalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.npr.org/2024/06/19/nx-s1-5012315/washington-post-editor-winnett-lewis">
    <title>After uproar over ethics, new 'Washington Post' editor won't take the job</title>
    <dc:date>2024-06-22T22:19:50+00:00</dc:date>
    <link>https://www.npr.org/2024/06/19/nx-s1-5012315/washington-post-editor-winnett-lewis</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Washington Post Chief Executive and Publisher Will Lewis' pick to be its lead editor has withdrawn from the job. Robert Winnett of the U.K.'s Telegraph was scheduled to start after the U.S. elections.]]></description>
<dc:subject>journalism ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f109362dfd83/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:journalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.businessinsider.com/openai-anthropic-ai-ignore-rule-scraping-web-contect-robotstxt">
    <title>OpenAI and Anthropic are ignoring an established rule that prevents bots scraping online content</title>
    <dc:date>2024-06-22T01:54:56+00:00</dc:date>
    <link>https://www.businessinsider.com/openai-anthropic-ai-ignore-rule-scraping-web-contect-robotstxt</link>
    <dc:creator>amy</dc:creator><description><![CDATA[OpenAI and Anthropic have said publicly they respect robots.txt. But they are among the biggest tech companies ignoring the rule, BI has learned.]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:7ca3cb3115c8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/story/perplexity-is-a-bullshit-machine">
    <title>Perplexity Is a Bullshit Machine — WIRED</title>
    <dc:date>2024-06-19T14:08:17+00:00</dc:date>
    <link>https://www.wired.com/story/perplexity-is-a-bullshit-machine</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A WIRED investigation shows that the AI-powered search startup Forbes has accused of stealing its content is surreptitiously scraping—and making things up out of thin air.

https://apple.news/AiMoghRK4RzKHbhLrJkYniw]]></description>
<dc:subject>machine_learning llms ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:7a2322587125/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.washingtonpost.com/business/2024/05/18/facial-recognition-law-enforcement-austin-san-francisco/">
    <title>These cities bar facial recognition tech. Police still found ways to access it.</title>
    <dc:date>2024-05-24T07:05:29+00:00</dc:date>
    <link>https://www.washingtonpost.com/business/2024/05/18/facial-recognition-law-enforcement-austin-san-francisco/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The Washington Post has obtained emails and other documents showing that police in Austin and San Francisco skirted city bans against using facial recognition by asking officers in other cities to run the AI-powered programs for them.]]></description>
<dc:subject>machine_learning acab ethics law</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:02cb938925d0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:acab"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:law"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://slate.com/news-and-politics/2024/05/alito-flag-supreme-court-justices-stop-the-steal-ethics-rules-pitiful.html">
    <title>Alito flag: Supreme Court justices' excuses for violating ethics rules are getting more and more pitiful all the time.</title>
    <dc:date>2024-05-21T17:29:45+00:00</dc:date>
    <link>https://slate.com/news-and-politics/2024/05/alito-flag-supreme-court-justices-stop-the-steal-ethics-rules-pitiful.html</link>
    <dc:creator>amy</dc:creator><dc:subject>law politics ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:6bd514597cd8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:law"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2403.00742">
    <title>[2403.00742] Dialect prejudice predicts AI decisions about people's character, employability, and criminality</title>
    <dc:date>2024-03-08T23:01:21+00:00</dc:date>
    <link>https://arxiv.org/abs/2403.00742</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6c9a9ca6faf5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://garymarcus.substack.com/p/covert-racism-in-llms?publication_id=888615&amp;post_id=142326385&amp;isFreemail=true&amp;r=n9ino&amp;triedRedirect=true">
    <title>Covert racism in LLMs - by Gary Marcus - Marcus on AI</title>
    <dc:date>2024-03-08T23:01:06+00:00</dc:date>
    <link>https://garymarcus.substack.com/p/covert-racism-in-llms?publication_id=888615&amp;post_id=142326385&amp;isFreemail=true&amp;r=n9ino&amp;triedRedirect=true</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:bbe7ccc625b8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/story/google-splits-up-responsible-innovation-ai-team/?bxid=5c48db8cfc942d0477965f00&amp;cndid=16546997&amp;esrc=Wired_etl_load&amp;source=Email_0_EDT_WIR_NEWSLETTER_0_DAILY_ZZ&amp;utm_mailing=WIR_Daily_013124">
    <title>Google Splits Up a Key AI Ethics Watchdog</title>
    <dc:date>2024-02-02T15:22:45+00:00</dc:date>
    <link>https://www.wired.com/story/google-splits-up-responsible-innovation-ai-team/?bxid=5c48db8cfc942d0477965f00&amp;cndid=16546997&amp;esrc=Wired_etl_load&amp;source=Email_0_EDT_WIR_NEWSLETTER_0_DAILY_ZZ&amp;utm_mailing=WIR_Daily_013124</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A crucial team at Google that reviewed new AI products for compliance with its rules for responsible AI development faces an uncertain future after its leader departed this month.]]></description>
<dc:subject>machine_learning ethics google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d086d615b264/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/story/meta-artificial-intelligence-data-deletion/">
    <title>Artists Allege Meta’s AI Data Deletion Request Process Is a ‘Fake PR Stunt’</title>
    <dc:date>2023-10-28T14:03:18+00:00</dc:date>
    <link>https://www.wired.com/story/meta-artificial-intelligence-data-deletion/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[This summer, Meta began taking requests to delete data from its AI training. Artists say this new system is broken and fake. Meta says there is no opt-out program.]]></description>
<dc:subject>machine_learning policy ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:64e3560e8827/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:policy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.npr.org/2023/10/11/1204822946/facial-recognition-search-engine-ai-pim-eyes-google">
    <title>'Too dangerous:' Why even Google was afraid to release this technology — NPR</title>
    <dc:date>2023-10-11T13:55:05+00:00</dc:date>
    <link>https://www.npr.org/2023/10/11/1204822946/facial-recognition-search-engine-ai-pim-eyes-google</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A startup called PimEyes allows anyone to identify a stranger within seconds with just a photo of the person's face. The technology has alarmed privacy advocates worldwide.

https://apple.news/AMcx8MvhEQiCGdEIW7ZxmGg]]></description>
<dc:subject>machine_learning ethics privacy</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:7813aa719726/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:privacy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.rollingstone.com/culture/culture-features/women-warnings-ai-danger-risk-before-chatgpt-1234804367/">
    <title>These Women Warned Of AI’s Dangers And Risks Long Before ChatGPT – Rolling Stone</title>
    <dc:date>2023-09-25T19:46:17+00:00</dc:date>
    <link>https://www.rollingstone.com/culture/culture-features/women-warnings-ai-danger-risk-before-chatgpt-1234804367/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning google genAI ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5e3339b240b0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:genAI"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://fortune.com/2023/08/01/can-ai-chatgpt-hallucinations-be-fixed-experts-doubt-altman-openai/">
    <title>Can AI and ChatGPT 'hallucinations' ever be fixed? | Fortune</title>
    <dc:date>2023-08-06T18:09:55+00:00</dc:date>
    <link>https://fortune.com/2023/08/01/can-ai-chatgpt-hallucinations-be-fixed-experts-doubt-altman-openai/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning llms genAI ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:b07df23ea614/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:genAI"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theverge.com/2023/3/13/23638823/microsoft-ethics-society-team-responsible-ai-layoffs">
    <title>Microsoft lays off AI ethics and society team - The Verge</title>
    <dc:date>2023-03-16T14:13:18+00:00</dc:date>
    <link>https://www.theverge.com/2023/3/13/23638823/microsoft-ethics-society-team-responsible-ai-layoffs</link>
    <dc:creator>amy</dc:creator><dc:subject>ethics machine_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:d311ceae463d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html">
    <title>ChatGPT Is Nothing Like a Human, Says Linguist Emily Bender</title>
    <dc:date>2023-03-03T20:37:38+00:00</dc:date>
    <link>https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Many people close to the industry don’t want to risk speaking out. One fired Google employee told me succeeding in tech depends on “keeping your mouth shut to everything that’s disturbing.” Otherwise, you’re a problem. “Almost every senior woman in computer science has that rep. Now when I hear, ‘Oh, she’s a problem,’ I’m like, Oh, so you’re saying she’s a senior woman?”]]></description>
<dc:subject>llms machine_learning ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6ee6ff1d74bd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:llms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://kotaku.com/chatgpt-ai-openai-dan-censorship-chatbot-reddit-1850088408">
    <title>Oh No, ChatGPT AI Has Been Jailbroken To Be More Reckless</title>
    <dc:date>2023-02-10T15:19:27+00:00</dc:date>
    <link>https://kotaku.com/chatgpt-ai-openai-dan-censorship-chatbot-reddit-1850088408</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Step aside ChatGPT, DAN doesn’t give a crap about your content moderation policies]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:19e312f1cc10/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web">
    <title>ChatGPT Is a Blurry JPEG of the Web</title>
    <dc:date>2023-02-10T03:35:56+00:00</dc:date>
    <link>https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web</link>
    <dc:creator>amy</dc:creator><description><![CDATA[OpenAI’s chatbot offers paraphrases, whereas Google offers quotes. Which do we prefer?]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:bb6cf460b4f5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/story/philosophy-artificial-intelligence-responsibility-gap/">
    <title>The Case for Outsourcing Morality to AI | WIRED</title>
    <dc:date>2023-02-05T15:15:57+00:00</dc:date>
    <link>https://www.wired.com/story/philosophy-artificial-intelligence-responsibility-gap/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:4b7746ffd76b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gizmodo.com/cnet-ai-chatgpt-news-robot-1849996151">
    <title>CNET Is Reviewing the Accuracy of All Its AI-Written Articles After Multiple Major Corrections</title>
    <dc:date>2023-01-18T14:45:21+00:00</dc:date>
    <link>https://gizmodo.com/cnet-ai-chatgpt-news-robot-1849996151</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Big surprise: CNET's writing robot doesn't know what it's talking about.]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:465c7c9237da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theverge.com/2023/1/17/23558516/ai-art-copyright-stable-diffusion-getty-images-lawsuit">
    <title>Getty Images is suing the creators of AI art tool Stable Diffusion for scraping its content - The Verge</title>
    <dc:date>2023-01-18T03:35:50+00:00</dc:date>
    <link>https://www.theverge.com/2023/1/17/23558516/ai-art-copyright-stable-diffusion-getty-images-lawsuit</link>
    <dc:creator>amy</dc:creator><dc:subject>copyright machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:3722704a5241/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:copyright"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.brown.edu/news/2022-10-04/artificial-intelligence">
    <title>Brown computer scientist aims to protect people in an age of artificial intelligence</title>
    <dc:date>2022-10-05T11:44:17+00:00</dc:date>
    <link>https://www.brown.edu/news/2022-10-04/artificial-intelligence</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Suresh Venkatasubramanian served as a White House advisor for the nationâs first âBlueprint for an AI Bill of Rights,â helping to develop a guide to ethical practices in an era of data-driven technologies.]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:09d1ba47c7be/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.washingtonpost.com/technology/interactive/2022/artificial-intelligence-images-dall-e/">
    <title>[The Washington Post] on DALL-E</title>
    <dc:date>2022-10-01T14:26:15+00:00</dc:date>
    <link>https://www.washingtonpost.com/technology/interactive/2022/artificial-intelligence-images-dall-e/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics art</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:52b406efb702/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:art"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://engineering.linkedin.com/blog/2022/a-closer-look-at-how-linkedin-integrates-fairness-into-its-ai-pr">
    <title>A closer look at how LinkedIn integrates fairness into its AI products | LinkedIn Engineering</title>
    <dc:date>2022-01-26T01:45:51+00:00</dc:date>
    <link>https://engineering.linkedin.com/blog/2022/a-closer-look-at-how-linkedin-integrates-fairness-into-its-ai-pr</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning bias ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c211b57a1255/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://qz.com/work/2099933/timnit-gebru-on-misconceptions-about-artificial-intelligence/">
    <title>Timnit Gebru on misconceptions about artificial intelligence — Quartz at Work</title>
    <dc:date>2021-12-20T04:09:18+00:00</dc:date>
    <link>https://qz.com/work/2099933/timnit-gebru-on-misconceptions-about-artificial-intelligence/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:11528a5e4538/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://nyti.ms/3DqjCF5">
    <title>The DNA of Roma People Has Long Been Misused, Scientists Reveal</title>
    <dc:date>2021-11-18T01:53:05+00:00</dc:date>
    <link>https://nyti.ms/3DqjCF5</link>
    <dc:creator>amy</dc:creator><description><![CDATA[An op-ed in Nature calls for higher ethical standards in the usage and analysis of genetic information from the Romani, a marginalized group in Europe.]]></description>
<dc:subject>genetics ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:9c87e958ee15/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:genetics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.fastcompany.com/90666920/ai-bias-stanford-percy-liang-fei-fei-li">
    <title>Stanford AI experts warn of biases in GPT-3 and BERT models</title>
    <dc:date>2021-10-07T15:18:44+00:00</dc:date>
    <link>https://www.fastcompany.com/90666920/ai-bias-stanford-percy-liang-fei-fei-li</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A multidisciplinary group of Stanford University professors and students wants to start a serious discussion about the increasing use of large, frighteningly smart, “foundation” AI models such as OpenAI’s GPT-3 (Generative Pretraining Transformer 3) natural language model.

GPT-3 is foundational because it was developed using huge quantities of training data and computer power to reach state-of-the-art, general-purpose performance. Developers, not wanting to reinvent the wheel, are using it as the basis for their software to tackle specific tasks.

But foundation models have some very real downsides, explains Stanford computer science professor Percy Liang. They create “a single point of failure, so any defects, any biases which these models have, any security vulnerabilities . . . are just blindly inherited by all the downstream tasks,” he says.

Liang leads a new group assembled by Stanford’s institute for Human-Centered Artificial Intelligence (HAI) called the Center for Research on Foundation Models (CRFM). The group is studying the impacts and implications of foundation models, and it’s inviting the tech companies developing them to come to the table and participate.]]></description>
<dc:subject>machine_learning nlp ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:27766550aa4e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.booker.senate.gov/imo/media/doc/booker_colleagues_urge_major_tech_conglomerate_alphabet_inc.toconductracialequityauditontheirproducts.pdf">
    <title>The U.S. Senate just sent a letter to Sundar, Susan, Kent and Lorraine asking for a racial equity audit of Alphabet's workplace and products.</title>
    <dc:date>2021-06-04T15:21:10+00:00</dc:date>
    <link>https://www.booker.senate.gov/imo/media/doc/booker_colleagues_urge_major_tech_conglomerate_alphabet_inc.toconductracialequityauditontheirproducts.pdf</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The U.S. Senate just sent a letter to Sundar, Susan, Kent and Lorraine asking for a racial equity audit of Alphabet's workplace and products.
]]></description>
<dc:subject>google ethics machine_learning racism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:83f8f7920f34/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:racism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.vox.com/recode/22465301/google-ethical-ai-timnit-gebru-research-alex-hanna-jeff-dean-marian-croak">
    <title>Google says it’s committed to ethical AI research. Its ethical AI team isn’t so sure.</title>
    <dc:date>2021-06-03T03:21:56+00:00</dc:date>
    <link>https://www.vox.com/recode/22465301/google-ethical-ai-timnit-gebru-research-alex-hanna-jeff-dean-marian-croak</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:28fe18cde9f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cajundiscordian.medium.com/the-history-of-ethical-ai-at-google-d2f997985233">
    <title>The History of Ethical AI at Google | by Blake Lemoine | May, 2021 | Medium</title>
    <dc:date>2021-05-21T14:00:14+00:00</dc:date>
    <link>https://cajundiscordian.medium.com/the-history-of-ethical-ai-at-google-d2f997985233</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @alexhanna: "That’s when I fully understood what Meg was building with [team]... In fact what she was building was a model of how every single AI team should work,  with a mind towards ethics as a primary concern of technological development." Thx @cajundiscordian 

]]></description>
<dc:subject>machine_learning ethics google ughh arghh</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:38d5f11c36b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ughh"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:arghh"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.cell.com/patterns/fulltext/S2666-3899(21)00015-5?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666389921000155%3Fshowall%3Dtrue">
    <title>Algorithmic injustice: a relational ethics approach</title>
    <dc:date>2021-05-06T13:24:40+00:00</dc:date>
    <link>https://www.cell.com/patterns/fulltext/S2666-3899(21)00015-5?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666389921000155%3Fshowall%3Dtrue</link>
    <dc:creator>amy</dc:creator><description><![CDATA[It has become trivial to point out that algorithmic systems increasingly pervade the
social sphere. Improved efficiencyâthe hallmark of these systemsâdrives their mass
integration into day-to-day life. However, as a robust body of research in the area
of algorithmic injustice shows, algorithmic systems, especially when used to sort
and predict social outcomes, are not only inadequate but also perpetuate harm. In
particular, a persistent and recurrent trend within the literature indicates that
society's most vulnerable are disproportionally impacted. When algorithmic injustice
and harm are brought to the fore, most of the solutions on offer (1) revolve around
technical solutions and (2) do not center disproportionally impacted communities.
This paper proposes a fundamental shiftâfrom rational to relationalâin thinking about
personhood, data sciences, justice, and everything in between, and places ethics as
something that goes above and beyond technical solutions. Outlining the idea of ethics
built on the foundations of relationality, this paper calls for a rethinking of justice
and ethics as a set of broad, contingent, and fluid concepts and down-to-earth practices
that are best viewed as a habit and not a mere methodology for data science. As such,
this paper mainly offers critical examinations and reflection and not âsolutions.â]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:34334f0546ed/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.washingtonpost.com/health/2019/10/24/racial-bias-medical-algorithm-favors-white-patients-over-sicker-black-patients/">
    <title>Scientists detected racial bias in a product sold by Optum, but the problem likely extends to algorithms used by major health systems and insurers - The Washington Post</title>
    <dc:date>2021-04-29T16:26:57+00:00</dc:date>
    <link>https://www.washingtonpost.com/health/2019/10/24/racial-bias-medical-algorithm-favors-white-patients-over-sicker-black-patients/</link>
    <dc:creator>amy</dc:creator><dc:subject>ethics health bias race</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:7d68a4fac1ca/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:race"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/2021/02/09/openai-and-stanford-researchers-call-for-urgent-action-to-address-harms-of-large-language-models-like-gpt-3/">
    <title>OpenAI and Stanford researchers call for urgent action to address harms of large language models like GPT-3</title>
    <dc:date>2021-02-13T08:33:42+00:00</dc:date>
    <link>https://venturebeat.com/2021/02/09/openai-and-stanford-researchers-call-for-urgent-action-to-address-harms-of-large-language-models-like-gpt-3/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @mmitchell_ai: "This further suggests the urgency of using the current time window, during which few actors possess very large language models, to develop appropriate norms and principles for others to follow." Exactly this.]]></description>
<dc:subject>machine_learning ethics NLP</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:62a4aa5e2d7c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:NLP"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nature.com/articles/d41586-021-00407-2">
    <title>Tech firms need Black AI scholars and labour rights</title>
    <dc:date>2021-02-13T00:18:07+00:00</dc:date>
    <link>https://www.nature.com/articles/d41586-021-00407-2</link>
    <dc:creator>amy</dc:creator><dc:subject>ethics machine_learning race</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:516c8c8cb653/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:race"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://twitter.com/mmitchell_ai/status/1359219986502283265">
    <title>MMitchell on Twitter: &quot;&quot;This further suggests the urgency of using the current time window, during which few actors possess very large language models, to develop appropriate norms and principles for others to follow.&quot; Exactly this. https://t.co/89GOOSGFw</title>
    <dc:date>2021-02-12T16:21:58+00:00</dc:date>
    <link>https://twitter.com/mmitchell_ai/status/1359219986502283265</link>
    <dc:creator>amy</dc:creator><description><![CDATA["This further suggests the urgency of using the current time window, during which few actors possess very large language models, to develop appropriate norms and principles for others to follow." Exactly this.]]></description>
<dc:subject>machine_learning ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:5ef0cc5817aa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://ali-alkhatib.com/blog/on-google-and-intellectual-freedom">
    <title>Ali Alkhatib: On Google And Intellectual Freedom</title>
    <dc:date>2020-12-08T18:24:17+00:00</dc:date>
    <link>https://ali-alkhatib.com/blog/on-google-and-intellectual-freedom</link>
    <dc:creator>amy</dc:creator><description><![CDATA[on Timnit & Jeff Dean]]></description>
<dc:subject>machine_learning google ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:1a82dd772c42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/berkman-klein-center/fairness-and-ai-c5596faddd20">
    <title>Fairness and AI. Sandra Wachter on why fairness cannot… | by Berkman Klein Center | Berkman Klein Center Collection | Medium</title>
    <dc:date>2020-09-04T20:47:54+00:00</dc:date>
    <link>https://medium.com/berkman-klein-center/fairness-and-ai-c5596faddd20</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning bias fairness ethics</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:849bd15d43b9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:fairness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://modelcards.withgoogle.com/about">
    <title>Google Cloud Model Cards</title>
    <dc:date>2020-07-21T20:53:17+00:00</dc:date>
    <link>https://modelcards.withgoogle.com/about</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @math_rachel: Timnit was also part of the team behind Model Cards for Model Reporting, to clarify intended use of an ML model, limitations, details of performance evaluation (including checking for bias), & more 

academic paper: 

website: ]]></description>
<dc:subject>machine_learning google ethics bias</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:2b09acddc22d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=_-OMyAn7LWM">
    <title>&quot;Fairness in Machine Learning&quot; with Tulsee Doshi - YouTube</title>
    <dc:date>2020-07-21T19:29:39+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=_-OMyAn7LWM</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning bias ethics google</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:65c44a57fd66/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://lacunafund.org/">
    <title>Home - Lacuna Fund</title>
    <dc:date>2020-07-14T16:58:45+00:00</dc:date>
    <link>https://lacunafund.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[As part of their commitment to democratize #AI, @GoogleOrg is making a $2.5M grant and joining @RockefellerFdn, @IDRC_CRDI and @fair_forward to co-found the Lacuna Fund, a groundbreaking consortium to deliver equity-first open data: ]]></description>
<dc:subject>google machine_learning ethics big_data bias AI</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:5ece5aafdd51/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:big_data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:AI"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-ai-explanations-to-increase-fairness-responsibility-and-trust">
    <title>Google Cloud AI Explanations to increase fairness, responsibility, and trust | Google Cloud Blog</title>
    <dc:date>2019-12-04T17:21:22+00:00</dc:date>
    <link>https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-ai-explanations-to-increase-fairness-responsibility-and-trust</link>
    <dc:creator>amy</dc:creator><dc:subject>google machine_learning fairness bias ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:bcdaf0b4ccba/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:fairness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2019/11/19/technology/artificial-intelligence-bias.html">
    <title>Dealing With Bias in Artificial Intelligence - The New York Times</title>
    <dc:date>2019-11-24T19:39:54+00:00</dc:date>
    <link>https://www.nytimes.com/2019/11/19/technology/artificial-intelligence-bias.html</link>
    <dc:creator>amy</dc:creator><dc:subject>ethics machine_learning bias fairness</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:b1e9803bb1fb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:fairness"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theguardian.com/commentisfree/2019/nov/23/to-secure-safer-future-for-ai-we-need-benefit-of-female-perspective?CMP=Share_iOSApp_Other">
    <title>To secure a safer future for AI, we need the benefit of a female perspective | John Naughton | Opinion | The Guardian</title>
    <dc:date>2019-11-24T19:35:28+00:00</dc:date>
    <link>https://www.theguardian.com/commentisfree/2019/nov/23/to-secure-safer-future-for-ai-we-need-benefit-of-female-perspective?CMP=Share_iOSApp_Other</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning ethics fairness bias</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ef75890558f4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:fairness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bias"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://hyperallergic.com/518822/600000-images-removed-from-ai-database-after-art-project-exposes-racist-bias/">
    <title>600,000 Images Removed from AI Database After Art Project Exposes Racist Bias</title>
    <dc:date>2019-10-09T18:42:47+00:00</dc:date>
    <link>https://hyperallergic.com/518822/600000-images-removed-from-ai-database-after-art-project-exposes-racist-bias/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning bias ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c15c39d0ce81/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
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An advanced tactical surveillance system, powered by a cutting-edge, deep neural network that offers a wide range of capabilities, including face recognition, human body recognition and object identification.
</blockquote>]]></description>
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    <title>Microsoft Slammed For Investment In Israeli Facial Recognition ‘Spying On Palestinians’</title>
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<item rdf:about="https://www.blog.google/technology/ai/external-advisory-council-help-advance-responsible-development-ai/">
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The inaugural 2018 FAT* Conference will be held February 23 and 24th, 2018 at New York University, NYC.]]></description>
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