Rachel Thomas

@math_rachel

Director of USF Center for Applied Data Ethics + co-founder | deep learning, ethics, math phd, software dev | she/her

San Francisco, CA
Vrijeme pridruživanja: svibanj 2013.

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  1. Prikvačeni tweet
    13. lis 2019.
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  2. proslijedio/la je Tweet

    This week's edition of , featuring social media influencers' and Facebook's impact on the election, Coronavirus misinformation, phishing, AI-created medicine, lawmakers & deepfakes, facial recognition lawsuits, and more!

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  3. proslijedio/la je Tweet

    Has anyone calculated the total amount of money spent globally on independent research of platforms and the spread of illegal and harmful information, versus the revenues of Facebook, Google, YouTube, Amazon and Twitter?

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  4. prije 12 sati

    I borrowed 's idea and am having my data ethics students keep a group spreadsheet of current data ethics news articles. Some articles from the past week:

    Article Title
Have a Search Warrant for Data? Google Wants You to Pay
The 'Illinois Artificial Intelligence Video Interview Act' is a real law. Here's why it may be coming to a job application near year.
Leaked Documents Expose the Secretive Market for Your Web Browsing Data
Data privacy must be seen as human right: Satya Nadella
India likely to force Facebook, WhatsApp to identify the originator of messages
Singapor
    The battle for ethical AI at the world’s biggest machine-learning conference
"One year inside Trump's monumental Facebook campaign
"
Larry Magid: Unintended consequences of well-meaning innovations and laws
Avast shuts down marketing analytics subsidiary Jumpshot amid controversy over selling user data
40 groups have called for a US moratorium on facial recognition technology
"The big data of the goverment: The detai
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  5. proslijedio/la je Tweet
    3. velj

    During our video lessons I do a lot of little asides about debugging, s/w eng, ethics, etc. I want our upcoming book to include these too! What tidbits from the courses should we be sure to include in the book?

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  6. proslijedio/la je Tweet
    2. velj

    Excerpt: "Collectively, the 101 black teens participating in the study reported more than 5,600 experiences of racial discrimination over two weeks. That boils down to an average of more than five instances per day for each teenager."

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  7. 2. velj

    Data collection in ML often emphasizes size & efficiency, taking data in masses indiscriminately without critiquing its origin, motivation, platform, or potential impact.

    n. In practice, data collection in significant ML subfields
is done without following a rigorous procedure or set of guidelines.
While some subfields in ML have fine-grained approaches to data
collection, others such as NLP and CV emphasize size and efficiency.
This approach often encourages data collection to be indiscriminate
[28]. Taking data in masses without critiquing its origin, motivation,
platform, and poten
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  8. 2. velj

    These quotes are from "Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning" by

    ABSTRACT
A growing body of work shows that many problems in fairness,
accountability, transparency, and ethics in machine learning systems are rooted in decisions surrounding the data collection and
annotation process. In spite of its fundamental nature however, data
collection remains an overlooked part of the machine learning (ML)
pipeline. In this paper, we argue that a new specialization should
be formed within M
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  9. 2. velj

    Data collection lessons from archival/library sciences that ML could use: • institutional mission statement • full-time curators responsible for weighing risks & benefits • codes of ethics & framework for enforcement • standardized documentation

    archives have
• an institutional mission statement that defines the concepts
or subgroups to collect data on
• full-time curators responsible for weighing the risks and
benefits of gathering different types of data and theoretical
frameworks for appraising collected data
• codes of conduct/ethics and a professional framework for
enforcing them
• standardized forms of documentation akin to what was proposed in Datashe
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  10. proslijedio/la je Tweet
    8. lis 2019.

    "To redirect a small portion of the accumulated wealth generated through data extraction to the people who actually generate it while leaving the rest of the system intact is ... putting a seal of approval on a system that has inequality at its core".

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  11. proslijedio/la je Tweet
    29. sij

    Last call for Deep Learning Diversity Fellowship applications! Our final deadline is this Fri Jan 31 at noon for our course starting March 17. For more info & to apply:

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  12. 29. sij

    What is the Problem to Which Fair Machine Learning is the Solution? 5 min lightning talk by

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  13. proslijedio/la je Tweet
    29. sij

    It's no wonder The Observer recently reported that Sex Workers Are at the Forefront of the Fight Against Mass Surveillance and Big Tech. "Algorithms are affecting people, and disproportionately they're going to affect people at the margins,"

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  14. proslijedio/la je Tweet
    28. sij

    I created a tech ethics & policy scavenger hunt where students had to track down info about scandals, research topics on google scholar, identify sides of a controversy, create memes, and more! Feel free to use this in your class or pass on to others 🙌

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  15. 28. sij

    Per capita, London has more CCTV cameras than Beijing

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  16. 28. sij

    The targets of facial recognition use by police may not only be violent threats to the nation. Race equality campaigners have been spied upon; climate activists were put on an extremism watchlist; and even an elderly anti-war activist & heckler was held under terror laws

    Quick, cheap to make and loved by police – facial recognition apps are on the rise
John Naughton
 Read more
Facial-recognition CCTV cameras could identify and record who attends a protest. They could automatically flag “suspicious behaviour”, or people who look or act in a certain way, which could be particularly problematic for groups already stopped and searched disproportionately. This isn’t dystopian fiction, but
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  17. 28. sij

    London police will start using live facial recognition "Even if it’s legal, that doesn’t mean it’s ethical... What often gets lost in debates about bias & accuracy is that we don’t know if the tech is effective in helping to fight crime" --

    Given all these concerns, why rush to deploy such a controversial technology? Even if it’s legal, that doesn’t mean it’s ethical. And just because a new technology becomes available, that doesn’t mean the police have “a duty” to deploy it, as the Met claimed last week.

What often gets lost in debates about bias and accuracy is that we don’t know if the technology is actually effective in helping to fight crime. In f
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  18. proslijedio/la je Tweet
    28. sij

    Kicking off first night of Intro to Data Ethics with ⁦⁩! Great group from tech, gov’t and policy! ⁦

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  19. proslijedio/la je Tweet
    25. sij

    Wohoo! In 2020 we are supporting passionate machine learning educators and meetups around the world. Tag me, , for any questions! :)

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  20. proslijedio/la je Tweet
    27. sij

    Academic Twitter: what's the best scholarly history of the Tuskegee Syphilis experiment, attempts to oppose it, and the development of the Belmont Report? I am especially interested in whistleblowers, advocacy for participant rights, and the role of the NAACP

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  21. proslijedio/la je Tweet
    25. sij

    Same. I had to email an editor last year when they had pictures of all the white men on the session and decided to accidentally leave me out.

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