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    <title>Elizabeth Laraki (@elizlaraki): &quot;I'm talking at a conference later this year (on UX+AI). I just saw an ad for the conference with my photo and was like, wait, that doesn't look right. Is my bra showing in my profile pic and I've never noticed...? That's w</title>
    <dc:date>2024-10-22T19:00:20+00:00</dc:date>
    <link>https://xcancel.com/elizlaraki/status/1846252781851890026</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[ I'm talking at a conference later this year (on UX+AI).

I just saw an ad for the conference with my photo and was like, wait, that doesn't look right.

Is my bra showing in my profile pic and I've never noticed...? That's weird.

I open my original photo.
No bra showing.

I put the two photos side by side and I'm like WTF... 

Someone edited my photo to unbutton my blouse and reveal a made-up hint of a bra or something else underneath. 🤨

Immediately, I email the conference host. 
(FYI he is a great, respectable guy with 5 kids at home.) 

He is super apologetic and immediately looks into the issue. 

He quickly reports back that the woman running their social media used a cropped square image from their website. 

She needed it to be more vertical, so she used an AI expand image tool to make the photo taller. 

AI invented the bottom part of the image (in which it believed that women's shirts should be unbuttoned further, with some tension around the buttons, and revealing a little hint of something underneath). 🤯]]></description>
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    <link>https://blog.christianperone.com/2023/06/appreciating-llms-data-pipelines/</link>
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    <dc:creator>stevenbedrick</dc:creator><dc:subject>abortion informatics data</dc:subject>
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    <link>https://datashare.icij.org/</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Datashare is an open-source software developed by the International Consortium of Investigative Journalists (ICIJ). You can use it for free on your computer or install it on your server and analyse your documents with collaborative features.]]></description>
<dc:subject>data journalism tool documents tools ir search pdf</dc:subject>
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<item rdf:about="https://medialab.github.io/iwanthue/">
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    <dc:date>2024-02-02T17:42:04+00:00</dc:date>
    <link>https://medialab.github.io/iwanthue/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>color data visualisation tools colors dataviz gui hci</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://gchq.github.io/CyberChef/">
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    <dc:date>2024-02-01T22:02:19+00:00</dc:date>
    <link>https://gchq.github.io/CyberChef/</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Handy toolbench for encoding, decoding, analysis, etc. of random text samples.]]></description>
<dc:subject>data security tools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:60642112c88d/</dc:identifier>
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<item rdf:about="https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/">
    <title>Using Metadata to find Paul Revere</title>
    <dc:date>2023-11-23T19:39:18+00:00</dc:date>
    <link>https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/</link>
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<item rdf:about="http://www.systems-thinking.org/dikw/dikw.htm">
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    <dc:date>2023-11-09T17:55:33+00:00</dc:date>
    <link>http://www.systems-thinking.org/dikw/dikw.htm</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[DIKW explanation]]></description>
<dc:subject>data information philosophy knowledge teaching dikw</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:b8a9cf2ba8df/</dc:identifier>
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<item rdf:about="https://dlthub.com/">
    <title>dlthub</title>
    <dc:date>2023-10-26T01:21:53+00:00</dc:date>
    <link>https://dlthub.com/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data tool tools etl python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://dvc.org/">
    <title>Data Version Control · DVC</title>
    <dc:date>2023-07-10T16:27:57+00:00</dc:date>
    <link>https://dvc.org/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data git versioncontrol ml tools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://realpython.com/storing-images-in-python/">
    <title>Three Ways of Storing and Accessing Lots of Images in Python – Real Python</title>
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    <link>https://realpython.com/storing-images-in-python/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>bigdata python images data image storage</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.urban.org/research/publication/do-no-harm-guide-applying-equity-awareness-data-visualization">
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    <dc:date>2023-02-02T18:50:06+00:00</dc:date>
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    <dc:creator>stevenbedrick</dc:creator><dc:subject>data visualization dataviz ethics research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:7f3e0932fbbe/</dc:identifier>
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<item rdf:about="http://sappingattention.blogspot.com/2019/03/whats-in-hathi-trust.html?m=1">
    <title>Sapping Attention: What's in the Hathi Trust?</title>
    <dc:date>2022-10-31T14:58:13+00:00</dc:date>
    <link>http://sappingattention.blogspot.com/2019/03/whats-in-hathi-trust.html?m=1</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Very interesting example of how the source of data can affect results of analysis 

"One hugely important question is where the books come from. Different libraries had different scanning agreements with Google, and collect differently. Medical terms show a sharp drop-off in Google Ngrams after 1922 not because they were used less in writing, but because Harvard's excellent medical library wasn't scanned by Google for post-1922 books. Hathi has some of the same issues in its scope; Harvard (dark blue) disappears after 1922 along with the New York Public, and the collection become largely Michigan (light orange) and California (light blue). A huge spike of misdated items from the year 1900 can be blamed mostly on California. The sharp contraction of size in the corpus after 1922 can partially be blamed on the libraries that disappear, but California too contributes fewer books. It will take some work to create a sample that is relatively consistent across the copyright line."]]></description>
<dc:subject>books library digital data bias history ngrams</dc:subject>
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</item>
<item rdf:about="https://cyberneticforests.substack.com/p/how-to-read-an-ai-image">
    <title>How to Read an AI Image - by Eryk Salvaggio</title>
    <dc:date>2022-10-19T22:09:23+00:00</dc:date>
    <link>https://cyberneticforests.substack.com/p/how-to-read-an-ai-image</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Good exercise in thinking through what sort of data might lead to a certain image being generated in a particular way - methodology could be used for any kind of ML error analysis, really.]]></description>
<dc:subject>ai photography theory criticism ml data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:edcc58048b7e/</dc:identifier>
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<item rdf:about="https://ourworldindata.org/covid-deaths-by-vaccination">
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    <dc:date>2022-04-20T22:37:18+00:00</dc:date>
    <link>https://ourworldindata.org/covid-deaths-by-vaccination</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[base rate fallacy explained very well]]></description>
<dc:subject>data dataviz covid infofiz infographics epidemiology biostats stats</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:2ef2d6abb4a2/</dc:identifier>
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<item rdf:about="https://www.wired.co.uk/article/maori-language-tech">
    <title>Māori are trying to save their language from Big Tech | WIRED UK</title>
    <dc:date>2022-04-14T23:20:15+00:00</dc:date>
    <link>https://www.wired.co.uk/article/maori-language-tech</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data language indigenous asr governance maori nz nlp ethics teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:40f6e57766b2/</dc:identifier>
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<item rdf:about="https://www.nytimes.com/2022/03/22/technology/ai-data-indigenous-ivow.html">
    <title>How Native Americans Are Trying to Debug A.I.’s Biases - The New York Times</title>
    <dc:date>2022-04-03T21:46:32+00:00</dc:date>
    <link>https://www.nytimes.com/2022/03/22/technology/ai-data-indigenous-ivow.html</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>indigenous ai teaching bias data informatics ontology ml</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:42388c15dfec/</dc:identifier>
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</item>
<item rdf:about="https://pair.withgoogle.com/explorables/dataset-worldviews/">
    <title>Datasets Have Worldviews</title>
    <dc:date>2022-02-04T00:37:11+00:00</dc:date>
    <link>https://pair.withgoogle.com/explorables/dataset-worldviews/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data teaching interactive bias ml annotation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:d2ba9e0d5ea4/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:stevenbedrick/t:interactive"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:stevenbedrick/t:ml"/>
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</item>
<item rdf:about="https://twitter.com/jburnmurdoch/status/1418952126244478977">
    <title>John Burn-Murdoch on Twitter: &quot;NEW: people worry when they hear &quot;40% of hospitalisations are fully vaxxed&quot;, but this chart shows that's actually good news. The more people you vaccinate, the higher their share of hospitalisations, but the *total* number i</title>
    <dc:date>2021-07-29T20:33:54+00:00</dc:date>
    <link>https://twitter.com/jburnmurdoch/status/1418952126244478977</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data covid dataviz infoviz bayes infographic vaccination</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:4fe5a4cadd9d/</dc:identifier>
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</item>
<item rdf:about="https://www.nytimes.com/2021/06/29/science/indigenous-data-microbiome-science.html?referringSource=articleShare">
    <title>Training the Next Generation of Indigenous Data Scientists - The New York Times</title>
    <dc:date>2021-06-29T20:33:17+00:00</dc:date>
    <link>https://www.nytimes.com/2021/06/29/science/indigenous-data-microbiome-science.html?referringSource=articleShare</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>ai data teaching indigenous ethics society history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:0e45393908ae/</dc:identifier>
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</item>
<item rdf:about="https://github.com/kylebarron/usgs-topo-tiler">
    <title>kylebarron/usgs-topo-tiler: Python package to read Web Mercator map tiles from USGS Historical Topographic Maps</title>
    <dc:date>2021-05-07T17:57:27+00:00</dc:date>
    <link>https://github.com/kylebarron/usgs-topo-tiler</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>cartography topo usgs maps mapping aws dataset data python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:c05e55f76bf5/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:stevenbedrick/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:stevenbedrick/t:python"/>
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</item>
<item rdf:about="https://twitter.com/rajiinio/status/1375957284061376516">
    <title>Deb Raji on Twitter: &quot;These are the four most popular misconceptions people have about race &amp;amp; gender bias in algorithms. I'm wary of wading into this conversation again, but it's important to acknowledge the research that refutes each point, despite i</title>
    <dc:date>2021-04-13T00:16:02+00:00</dc:date>
    <link>https://twitter.com/rajiinio/status/1375957284061376516</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[These are the four most popular misconceptions people have about race & gender bias in algorithms.

I'm wary of wading into this conversation again, but it's important to acknowledge the research that refutes each point, despite it feeling counter-intuitive.
]]></description>
<dc:subject>ethics bias twitter racism data algorithms teaching resources</dc:subject>
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<dc:identifier>https://pinboard.in/u:stevenbedrick/b:655434747384/</dc:identifier>
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</item>
<item rdf:about="https://onezero.medium.com/how-googles-bad-data-wiped-a-neighborhood-off-the-map-80c4c13f1c2b">
    <title>How Google’s Bad Data Wiped a Neighborhood off the Map | by Caitlin Dewey | OneZero</title>
    <dc:date>2021-04-07T00:52:03+00:00</dc:date>
    <link>https://onezero.medium.com/how-googles-bad-data-wiped-a-neighborhood-off-the-map-80c4c13f1c2b</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>google mapping gis data neighborhood maps geography buffalo</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:8386c2b9d779/</dc:identifier>
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</item>
<item rdf:about="https://www.theatlantic.com/science/archive/2021/03/americas-coronavirus-catastrophe-began-with-data/618287/">
    <title>We Tracked America's COVID-19 Numbers for a Year - The Atlantic</title>
    <dc:date>2021-03-16T16:24:53+00:00</dc:date>
    <link>https://www.theatlantic.com/science/archive/2021/03/americas-coronavirus-catastrophe-began-with-data/618287/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data teaching writing informatics publichealth covid</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:c81f165fb8f5/</dc:identifier>
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</item>
<item rdf:about="https://docs.streamlit.io/en/stable/">
    <title>Welcome to Streamlit — Streamlit 0.75.0 documentation</title>
    <dc:date>2021-02-02T19:19:39+00:00</dc:date>
    <link>https://docs.streamlit.io/en/stable/</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Sort of like Shiny for python]]></description>
<dc:subject>data python visualisation web dataviz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:c2fa9115d011/</dc:identifier>
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</item>
<item rdf:about="https://logicmag.io/commons/lines-of-sight/">
    <title>Lines of Sight</title>
    <dc:date>2020-12-16T19:28:13+00:00</dc:date>
    <link>https://logicmag.io/commons/lines-of-sight/</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[You can’t understand the AI systems that are transforming our world without understanding the datasets they are built on.
...
Exploring the history of ImageNet has implications not only for how we discuss the problems and failures of AI, but also for how we make critiques and formulate solutions to those issues. We need to develop genealogies of data to show that datasets are the product of myriad contingent assumptions, choices and decisions, and that could, in fact, be otherwise. Genealogy is an interpretive method of analysis, which we can apply to the historical conditions of dataset creation. Understanding these conditions illuminates the origins of certain problems, but it also opens up new paths of contestation by enabling us to imagine new standards, new methods for evaluating AI progress, and new approaches for developing ethical data practices in AI. 

Instead of the narrow focus on "bias," we can start to ask deeper questions such as: How did particular datasets emerge? What agendas, values, decisions, and choices governed their production? Who collected the data and with what purpose? Are the people represented in the datasets aware that they are participants in them? Can they meaningfully opt out? How about the workers, like the Amazon MTurkers, who annotated them? Were they fully recognized for their labor and fairly remunerated? And, most importantly, does the creation of the datasets serve the interests of the many or only those of the few?]]></description>
<dc:subject>writing teaching data informatics ai ml ethics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:88dbf6392951/</dc:identifier>
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</item>
<item rdf:about="https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15494">
    <title>Centre for Economic Policy Research</title>
    <dc:date>2020-12-01T01:32:46+00:00</dc:date>
    <link>https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15494</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Contact tracing has been a central pillar of the public health response to the COVID-19 pandemic. Yet, contact tracing measures face substantive challenges in practice and well-identified evidence about their effectiveness remains scarce. This paper exploits quasi-random variation in COVID-19 contact tracing. Between September 25 and October 2, 2020, a total of 15,841 COVID-19 cases in England (around 15 to 20% of all cases) were not immediately referred to the contact tracing system due to a data processing error. Case information was truncated from an Excel spreadsheet after the row limit had been reached, which was discovered on October 3. There is substantial variation in the degree to which different parts of England areas were exposed -- by chance -- to delayed referrals of COVID-19 cases to to the contact tracing system. We show that more affected areas subsequently experienced a drastic rise in new COVID-19 infections and deaths alongside an increase in the positivity rate and the number of test performed, as well as a decline in the performance of the contact tracing system. Conservative estimates suggest that the failure of timely contact tracing due to the data glitch is associated with more than 125,000 additional infections and over 1,500 additional COVID-19-related deaths. Our findings provide strong quasi-experimental evidence for the effectiveness of contact tracing.

]]></description>
<dc:subject>covid math ethics excel data teaching resources</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:b4e49bda2068/</dc:identifier>
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</item>
<item rdf:about="https://mfafinski.github.io/Historical_data/">
    <title>Historical data. A portrait – History in translation – Mateusz Fafinski</title>
    <dc:date>2020-11-18T21:17:31+00:00</dc:date>
    <link>https://mfafinski.github.io/Historical_data/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>datascience history data bias teaching ml art arthistory humanities</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:bcfeee7d2807/</dc:identifier>
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</item>
<item rdf:about="https://www.manifestno.com/">
    <title>Feminist Data Manifest-No</title>
    <dc:date>2020-10-14T00:03:05+00:00</dc:date>
    <link>https://www.manifestno.com/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data ethics feminism teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:ec60bff2a430/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:stevenbedrick/t:feminism"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://emilyriederer.netlify.app/post/column-name-contracts/">
    <title>Column Names as Contracts | Emily Riederer</title>
    <dc:date>2020-09-08T21:45:12+00:00</dc:date>
    <link>https://emilyriederer.netlify.app/post/column-name-contracts/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>data r database semantics metadata analytics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:4056c457250f/</dc:identifier>
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</item>
<item rdf:about="http://ethics.fast.ai/">
    <title>Practical Data Ethics | Data ethics</title>
    <dc:date>2020-08-21T23:33:11+00:00</dc:date>
    <link>http://ethics.fast.ai/</link>
    <dc:creator>stevenbedrick</dc:creator><dc:subject>ai algorithms data ethics teaching resources ml</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:3f762eb9d70c/</dc:identifier>
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</item>
<item rdf:about="https://github.com/beamandrew/medical-data">
    <title>beamandrew/medical-data</title>
    <dc:date>2020-08-11T17:34:22+00:00</dc:date>
    <link>https://github.com/beamandrew/medical-data</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[This is a curated list of medical data for machine learning.
]]></description>
<dc:subject>data ml dataset datasets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:stevenbedrick/b:1240bf866c3a/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2020/08/07/technology/talkspace.html">
    <title>At Talkspace, Start-Up Culture Collides With Mental Health Concerns - The New York Times</title>
    <dc:date>2020-08-07T22:33:20+00:00</dc:date>
    <link>https://www.nytimes.com/2020/08/07/technology/talkspace.html</link>
    <dc:creator>stevenbedrick</dc:creator><description><![CDATA[Issues of data use - transcripts from online therapy sessions, etc.]]></description>
<dc:subject>healthcare research ethics teaching data informatics therapy mentalhealth</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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