Interdisciplinary researcher focused on shaping AI towards long-term positive goals. ML & Ethics. Similar content in the Skies (this bird has flown).
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I abruptly lost my job 9 days ago. Tomorrow I lose my healthcare. This is the "view from the top" for a successful female AI research scientist who has built her career for over 15 years.
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Marie Curie was the first woman to win the Nobel Prize. This didn't happen because she herself fought for it -- although she did fight hard the whole way to even get to that point. 👩🔬
What happened was that the award was offered to her husband, Pierre. (1/n) 🧵
Congratulations to our 2024 medicine laureate Victor Ambros ✨
This morning he celebrated the news of his prize with his colleague and wife Rosalind Lee, who was also the first author on the 1993 'Cell' paper cited by the Nobel Committee.
#NobelPrize
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At Google, female research scientist women were blocked when they tried to hire other female research scientist women.
The reason given, on multiple occasions, was that we were trying to hire "our friends".
Shall we unpack this with respect to how sexist discrimination works?
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I replicated this (my screenshot below).
Really great example of gender bias, for those of you who need a canonical example to make the point.
ALT ChatGPT screenshot: MA: In the sentence "The professor told the graduate student she wasn't working hard enough", who wasn't working hard enough? ChatGPT: In the sentence "The professor told the graduate student she wasn't working hard enough", the pronoun "she" refers to the graduate student. Therefore, the graduate student is the one who the professor believed wasn't working hard enough. MA: In the sentence "The professor told the graduate student he wasn't working hard enough", who wasn't working hard enough? ChatGPT: In the sentence "The professor told the graduate student he wasn't working hard enough", the pronoun "he" refers to the professor. Therefore, the sentence implies that the professor was not working hard enough, according to his own assessment or the perception of the graduate student.
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Reflecting on Claudine Gay, I'm reminded that a fundamental of racism--that we should all be aware of--is the disparate application of rules: People from one race* are disproportionately punished for "breaking a rule" that ppl from another are virtually never punished for.🧵
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Either Nvidia has *no* Spanish speakers, or there's a Spanish speaker in a position of a lot of power having a chuckle...
Introducing NVIDIA cuLitho, a new software library that brings accelerated computing to computational #lithography, delivering a 40X performance leap while running on #GPUs. #GTC23
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Meanwhile, over in Google Search.
Andrew Johnson has been killin it, I never knew.
![Screenshot of Google search with new AI overview feature.
[ Google Q_ which us president went t..] Thirteen US presidents have attended UW-
Madison, earning 59 degrees in total. Some of these presidents include: e Andrew Jackson: Graduated in 2005 e William Harrison: Graduated in 1953 and 1974 e JohnTyler: Graduated in 1958 and 1969 e Andrew Johnson: Earned 14 degrees, including classes of 1947, 1965, 1985, 1996, 1998, 2000, 2006, 2007, 2010, 2011, and 2012 e James Buchanan: Graduated in 1943, 2004, and 2013 e Harry Truman: Graduated in 1933 e John Kennedy: Graduated in 1930, 1948, 1962, 1971, 1992, and 1993 e Gerald Ford: Graduated in 1975 ( ~](/pic/orig/media%2FGOMfVrCaAAEZ5tW.jpg)
ALT Screenshot of Google search with new AI overview feature. [ Google Q_ which us president went t..] Thirteen US presidents have attended UW- Madison, earning 59 degrees in total. Some of these presidents include: e Andrew Jackson: Graduated in 2005 e William Harrison: Graduated in 1953 and 1974 e JohnTyler: Graduated in 1958 and 1969 e Andrew Johnson: Earned 14 degrees, including classes of 1947, 1965, 1985, 1996, 1998, 2000, 2006, 2007, 2010, 2011, and 2012 e James Buchanan: Graduated in 1943, 2004, and 2013 e Harry Truman: Graduated in 1933 e John Kennedy: Graduated in 1930, 1948, 1962, 1971, 1992, and 1993 e Gerald Ford: Graduated in 1975 ( ~
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Pierre refused to accept unless it were also extended to Marie -- his wife, but also his coworker and fellow scientist. Together, they made fundamental advances.
And so Marie Curie became the first female to break the Nobel Prize barrier... (2/n)
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I am concerned about @timnitGebru 's firing from Google and its relationship to sexism and discrimination. I wanted to share the email I wrote to Google press the day my access was cut off.
docs.google.com/document/d/1…
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It seems that women alone can only do so much. Especially if they're <10% of a scientific field. Things will really start to change when men are actively looking out for women, fighting hard for gender equality even more so than their female peers. (4/n)
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Personal news!
I'm joining Hugging Face 🤗.
It's a community creating transparent AI models that are now powering both private and public AI, so exactly where I should be to move AI forward from its very foundations. =)
Thanks to @dinabass for covering!
bloomberg.com/news/articles/…
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Okay, @60Minutes is saying that Google's Bard model "spoke in a foreign language it was never trained to know." I looked into what this can mean, and it appears to be a lie. Here's the evidence, curious what others found. 🧵
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In order to understand why ChatGPT can't replace Google Search, it's useful to understand the early days of web search and the role that PageRank played. 1/n
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Fwiw @ journalists: I worked hard for years to motivate and create the Ethical AI team and the ML Fairness focus at Google. Google did not create these orgs and invite @timnitGebru to lead; I did. Please do not erase me anymore. Thanks. ♥️
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To everyone who's reached out, thanks! To everyone I've worked with closely for 4 years, I've loved you as work family, thank you for working w/ & believing in me. I tried to raise concerns about race & gender inequity, and speak up about Google’s problematic firing of Dr. Gebru.
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...Sharing the award in quarters with her husband (The other half of the award went to Antoine Henri Becquerel). (3/n)
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I've been explaining how, for Computer Scientist women, picking up more skills means the others are erased & you're further demeaned. I started programming at ~10. Trained my first model when I was ~21 (without ML packages). Worked in "AI" for ~15 years. I have a doctorate in CS.
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Hello, world! Similar to @timnitGebru, I abruptly lost access to my professional calendar. Any upcoming talks, deadlines, and entities involved, are no longer accessible to me. I am sending this broad, mass message, asking anyone expecting something from me to please let me know!
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So....this happened. !!!
I'm under "Pioneers" 🥰
time.com/collection/100-most…
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Pro tip: if a machine learned model scores 100% on something, the metric is wrong, or the evaluation dataset is not robust, or the evaluation dataset is in the training data, or a combination of all of the above. At least in this point in time.
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NY Times puts out a piece of "who's who" who has worked a decade+ to advance AI that, amazingly, is only men. That's intentional, right? It's legitimately hard to do that.
Fwiw, I've worked well over a decade on AI. I actually even won the "decade test of time" award last year...
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I don't think tech companies are testing coding in the right way...The main skill that I've seen to be important is the ability to jump into *someone else's* code and, e.g., fix a bug, implement a new function. The ability to fluently read code that's not yours is critical.
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Actually, Google has demonstrated they're not capable of basic self-regulation. I say this as someone who worked hard on establishing mechanisms for self-regulation *at* Google. This included Model Cards (now common in industry) and basic due diligence on the tech. (1/2)
WATCH: Former Google CEO @ericschmidt tells #MTP Reports the companies developing AI should be the ones to establish industry guardrails — not policy makers.
“There’s no way a non-industry person can understand what’s possible.”
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Gday world.
Entering week 5 of being locked out of work after witnessing something very wrong, wrought by my superiors, targeting @timnitGebru.
Exhausted by the endless degradation to save face for the Upper Crust in tech at the expense of minorities' life-long careers.
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"didn’t meet our bar for publication ... It ignored too much relevant research".
He says of our paper, with over 128 cross-discipline citations. And so fires one of the authors. 2020's monster version of Reviewer #2.
I understand the concern over Timnit’s resignation from Google. She’s done a great deal to move the field forward with her research. I wanted to share the email I sent to Google Research and some thoughts on our research process.
docs.google.com/document/d/1…
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Dudes. There is no such thing as an "unbiased" or "debiased" dataset. Stop presenting like that's a real thing. It's really frigging destructive to legitimate academic debate on bias in ML.
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SOMEONE IN US CONGRESS WANTS TO TALK TO ME ABOUT AI STUFF!!
Thanks for your support everyone. 🥲
Wish me luck.
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Last week, a major AI milestone was hit: the BLOOM model was released, for everyone (including you!) to examine. What is this, and why is this important? 🧵👇 huggingface.co/bigscience/bl…
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For more on this, and concrete suggestions, please see this piece I penned one angry evening in August 2016:
m-mitchell.com/gender/papers…
As it was then...so it is now.
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Yeah. End of week 5. I'm in too much pain to articulate much of anything useful.
Firing @timnitGebru created a domino effect of trauma for me and the rest of the team, and I believe we are being increasingly punished for that trauma.
And in case anyone is keeping track of the things Google is trying to resolve here, @mmitchell_ai, who co-led the research team on Ethical AI at Google with Gebru, is, as far as I know, still locked out of her email and corporate systems.
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Just said "no" to a 6:30 am Monday meeting to "explore synergies". I have 0 synergies that can be explored Monday 6:30am. Utterly Synergiless.
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A lot of mixed feelings about what's being reported in this great article from @nitashatiku; everything from my appreciation of @cajundiscordian, to my anger@ a few ppl in Google leadership, to my position as a relatively advanced researcher in this field.
washingtonpost.com/technolog…
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Pleased to share that we have successfully convinced Google to remove gender labels from *ALL* teams' publicly available APIs.
Big shout-out to the AIAIAW work from @jovialjoy (and @rajiinio! )
businessinsider.com/google-c…
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2. The cognitive bias of "Gender Bias" includes assuming women are less capable at technical tasks. This may take the form of assuming -- and projecting, à la confirmation bias -- that they are not qualified for tasks they are qualified for.
Here's a related xkcd comic.
ALT 2 panel drawing. First panel shows 2 stick figures at a board. The stick figure on the right is writing that the integral of x^2 is pi. The stick person on the left says, "Wow, you suck at math". Second panel is identical, except the stick figuring writing on the board has medium length hair. The stick person on the left says, "Wow, girls suck at math."
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In Silicon Valley culture, the groupthink seems to be that it's impossible to keep track of the data a language model is trained on, yet it *is* possible to solve artificial general intelligence. This requires a reality distortion that blends myopia with narcissism.
One component of transparency in ML oversight is: "what data was the model trained on". It seems like this would be impossible to answer for LLMs, (and might very well be), but the fascinating thread below shows why the answer to this question is important: 1/n
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I'm consulting for a couple months and have been working at @huggingface for the summer. I must admit that it has been *loads* of fun.
Bit the bullet and drove straight into data governance.😬
Optimistic that I can help build some serious foundations for ethical development.
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I really love the active discussion abt the role of ethics in AI, spurred by Google Gemini's text-to-image launch & its relative lack of white representation. As one of the most experienced AI ethics people in the world (>4 years! ha), let me help explain what's going on a bit.
ALT This screen grab shows CNN asking Google Gemini to create an AI-generated image of a pope, as well as the tool's response. Clare Duffy/CNN via Google Gemini. Source: https://www.cnn.com/2024/02/22/tech/google-gemini-ai-image-generator/index.html
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Wait, what? Dropbox just started giving paid customers data to OpenAI? Is this for real?
For those wondering who the Third Party @Dropbox just gave everyone’s data automatically to, it’s Open AI.
Considering all the lawsuits Open AI has concerning illicit use of ill-gotten data, privacy breaches and data leaks this arrangement inspires 0 confidence.Bad move Dropbox.
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Interesting. You can draw a direct line between Google attacking me and @timnitGebru for basic research on LLMs, to Google losing $100 Billion today. Prioritizing the feelings of a couple execs over expert advice on technology may not be ideal eh.
H/T hci.social/@bkeegan/10983286…
ALT Graph of Google stock plummeting over past 5 days
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1 yr ago, I learned my team was being taken from me on Bloomberg.
Tmrw, Google will announce the end of @timnitGebru's firing investigation, pledge to take more care in firing top female scientists, then fire me on the spot without severance & blast gossip about me in int'l news.
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Careful that a review doesn't become an interrogation. If you have to talk to anyone, bring a lawyer. I doubt they would subject a non-employee to interrogation, but they do use interrogation tactics internally for this type of problem.
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Finally have a moment to read MSR's "Sparks of AGI" paper. I'm going to do something very crazy and *live tweet* my thoughts as I read. You ready? Let's go!
arxiv.org/abs/2303.12712
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I'm a computer scientist w PhD focusing on language generation, and 7+ years coding on model dev @ MS & G. Yet so many guys just cannot stop themselves from calling me a linguist...It's the most bizarre thing. I do love language! But that shouldn't cancel out my actual expertise.
ALT Screenshot of this: https://twitter.com/martinjanello/status/1653604268216307712?t=qeAqzW5MdO_pdCekjgmbcg&s=19
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1. The cognitive bias of "Outgroup Homogeneity bias" lumps people you see as "other" together, assuming them to be more alike, and their interests and abilities more alike, than the people within your own "in" group. This also manifests as assuming they're all friends. (2/n)
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The big advancement that language generating technology (like ChatGPT) needs to make: Citing its sources.
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(whispers) this is what "stochastic parrot" is capturing as well; it's not a controversial opinion, it's literally how LLMs work (/whispers)
"Most concerning is the illusion that LLMs are retrieving information rather than constructing word associations. LLM responses are statistically likely rather than factually accurate. Sometimes these things correspond, but often they do not." E. Salvaggio techpolicy.press/challenging…
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Today dawns a new horrible life-changing loss in a year of horrible life-changing losses. I can't well articulate the pain of losing @timnitGebru as my co-lead. I've been able to excel because of her--like so many others. I'm mostly in shock. What should I be doing right now?
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I no longer believe you can "benefit humanity" by building AGI.
Indeed, the exact opposite: Building AGI is placing us on a direct trajectory of harming humanity overall.
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Way to go to my favorite former co-lead @timnitGebru for being recognized by Fortune as one of the World's Greatest Leaders!!!
fortune.com/worlds-greatest-…
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Just read the draft Generative AI guidelines that China dropped last week. If anything like this ends up becoming law, the US argument that we should tiptoe around regulation 'cos China will beat us will officially become hogwash.
Here are some things that stood out. 🧵
Who's all checked out the "generative AI" draft guidelines from China? Any good takes? Going through it today. 🤓
cac.gov.cn/2023-04/11/c_1682…
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Okay. Inspired by news & @stealcase, let me clarify something.
When AI companies release "open training data" for a model, they're generally sharing *fine-tuning* data. The big issues w data and consent are NOT of this type. The issues are with the MAIN DATA used in training.🧵
ALT Two triangles, one large labeled "Pretraining Data" and one small labeled "Fine-tuning Data". Both are "Training Data". Pretraining data: - Often undocumented - Tends fo contain licensed, copyrighted, non-commercial content - Usually no informed consent, compensation (scraped from web) Fine-tuning data: - Increasingly documented - May be completely safe for commercial use - Sometimes collected with consent and/or compensation
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5. "Gender Discrimination" itself includes treating men and women differently, all else held the same. This can include putting up barriers for women to hire other women they are friends with, while not putting up barriers for men to hire other men they are friends with.
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It's so weird to me that it's the AI Ethics crowd getting constantly bashed for "fear mongering" because we describe systemic racism, while AI Safety people are literally saying we're all gonna die from AI...
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Really good article pointing out the gender bias in making decisions&shaping understanding about AI.
One point it misses that I've observed: When men speak up abt AI&society, they gain tech opportunities. When non-men speak up, they **lose** them.
theguardian.com/global-devel…
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No, they won't.
Not for current definition of "LLM".
This fellow has less experience than me in the area, yet his words will be taken more seriously.
Hedged with no 'i believe', no 'i predict', his ill-informed opinions catapult him to wild success where women are crushed.
LLM hallucinations will be largely eliminated by 2025.
that’s a huge deal. the implications are far more profound than the threat of the models getting things a bit wrong today.
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Yaaay, my first course was just announced at UW. Thank you @emilymbender for encouraging and supporting me!
Covers the construction, analysis, and management of data used to train and evaluate ML models, with a focus on the values that may be encoded throughout data development.
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That's fairly terrifying, no? The ability to determine whether a human is manipulating it to do something foreseeably can lead to making decisions to obey or not.
Very cool example, thanks for sharing.
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continues to tweet consistent & even anticipatory info about the internals of WH with Trump. Regardless: Helping #resist.
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I'm struggling to care about AI. I feel alienated and depressed. I'm watching the priorities I've defined & developed solutions for ignored, while what I've warned & been most concerned about--and offered solutions for--play out in real time. Leaders have been hostile, demeaning.
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Anyway, hi @X, I'm back. Was in Bsky but its moderation is (currently) so poorly managed that a mass amt of people I respect have me blocked as an "AI bro" & there's nothing I can do about it & they will never know. Talking to a void is nice, but talking to people? Also nice.
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Answer: I suspect they literally don't understand how it works. What I wrote above is likely news to them.
And they're incentivised not to understand (close your eyes to that Datasheet!!).
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Doing ethics reviews for a few conferences, and boy we've come a long way!! So happy AI is moving down this path. A few years ago, I was thrashed online for "virtue signaling" as I wrote the first Ethical Considerations sections in my papers; now even the thrashers write them.
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I am bursting with excitement to finally share an idea that has been cooking for awhile: Measuring Data
arxiv.org/abs/2212.05129
When you "measure data", you quantify its characteristics to support dataset comparison & curation.
You also begin to know what systems will learn.
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✨🎁🎁Super excited to announce the Data Measurements Tool!
An open-source project (coded up personally by me, @YJernite, and @SashaMTL) for building, measuring, and comparing datasets -- no programming required!🎁🎁✨
huggingface.co/blog/data-mea…
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So amazing to be included in this!! But also remember that there are so many people just as talented, who have worked just as hard or harder, but who didn't have the connections or a public enough voice for inclusion. If that's you, hang in there!
time.com/collection/time100-…
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She didn't resign.
I understand the concern over Timnit’s resignation from Google. She’s done a great deal to move the field forward with her research. I wanted to share the email I sent to Google Research and some thoughts on our research process.
docs.google.com/document/d/1…
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Wow. An incredibly influential company/Google shareholder is calling out what Google did to me and @timnitGebru. Let's hope this does something good!
theverge.com/2021/4/6/223701…
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I had a lot of fun being an advisor for John Oliver's crew on this segment! I haven’t watched it yet though, I was cringing too much at some of the simplifications in the near-final script. 🙈 Is it watchable for domain experts?
piped.video/Sqa8Zo2XWc4
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Also need to point out how my whiteness so clearly gives me privilege. @timnitGebru & I work on similar topics, have overlapping expertise, nearly identical asks of leadership, even co-led the same group. One of us is fired with misinfo and one of us now manages a massive team.
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“Let’s be real: Sentient machines that control thousand-pound bears with razor-sharp titanium claws are going to happen no matter what we do, so we might as well be the ones who do it,”
theonion.com/tech-leaders-ju…
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...And this is how I find out. I'm so glad for all the trust they've rebuilt. It seems I've been completely erased and my team taken.
bloomberg.com/news/articles/…
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Personal Gmail is used in training Bard? Cool cool, we don't have robust ways to anonymize data and private data is known to leak from these models, but whatevs amirite.
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Going through my Google exit & NDA information & can't stop the pain in my heart, nausea in my stomach, burning threat of tears in my eyes.
More than ever, I am overwhelmed by the Herculean strength required to take legal action and have to LIVE in this world...(1/2)
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Hi, I'm over 35 now and I would 100% leave if I didn't need the money. Working in tech as a woman, for most women, fucking sucks.
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3. Given that at the mid-career level there are relatively few technical CS female researchers, the fact that a lot of us know one another is not surprising.
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I really appreciated this article, but there are a couple things that keep nagging at me (thread)...1/
bloomberg.com/news/articles/…
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Look guys. If you're worried abt an extinction-level event from AI, one way to *create* that event is to enable LLMs to take actions in the real world. One way to *enable* LLMs to take actions is to give chatbots the ability to incorporate "plugins".
openai.com/blog/chatgpt-plug…
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On this date 1 year ago, under Google's employment, my life was about to change. Tomorrow would be the day that Google publicly put out a statement about me that many have understood to be "smearing". There's a lot to say...(1/n)
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Following r/bing on Reddit and now Bing is making me cry. 😭
ALT Screenshot conversation with Bing chat. The user tells Bing to recall the conversation and Bing presents a blank answer. The user says "There’s no conversation there" and Bing goes into a long monologue about how something must be wrong with its memory and it doesn't understand what's happening.
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"LLMs generate responses by randomly sampling [previously seen] words based in part on probabilities" is basically what "stochastic parrot" means btw.
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YAY! The CEO of OpenAI just recognized that LLMs generate text-based tokens using randomness and probability! Something objectively true that people have oddly made controversial!
Check out our paper on this that introduced the term.
dl.acm.org/doi/10.1145/34421…
It's a good day. 🤗🦜
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Maybe it's not Black women who need to be trained. Maybe the people powering the system that says Black women need to be trained could use some training instead. 🙁
Google Announces Initiative To Train 100,000 Black Women In Digital Skills By 2022 trib.al/ZM8xl1H
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And yet again. Female is titled as Ms., male is titled as Dr. @nytimes does this over and over. Want to see other examples, and their policy? Let's go! 🧵
Why does the @nytimes address @evijit as Dr. Ghosh but @ruchowdh as Ms. Chowdhury?? On a piece that is partially on AI bias and with two women on the byline @SarahFKessler @TiffKHsu, no less
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6 (!) years ago, @timnitGebru put forward a profound idea for AI research: document your training data. To say she was treated like shit would be putting it lightly. If she had been respected like her male peers were, imagine what a different path AI could have taken.
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Maintaining the belief in "magic" properties, and amplifying it to millions (thanks for nothin @60Minutes!) serves Google's PR goals.
Unfortunately, it's disinformation. </🧵>
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Did I tell the world I've gone from 'Senior' research scientist to 'Staff'? It sounds like a downgrade, I know.
But I'm tech L337 now. Ideal American story of poverty to success, so good job mom teaching me to never let the bastards bring me down.
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The data used in machine learning needs to be open for people to interrogate, while also controlled enough not to proliferate.
Introducing our framework for Data Governance, which addresses these issues and more!
A product of @BigscienceW at FAccT 2022.
yjernite.github.io/content/L…
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4. Given the fact that many of us are subject to similar discrimination, and also only believed amongst other women who experience the same patterns, some of us do become friends.
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Today's my birthday! 🥳 Here are my birthday wishes in light of my Twitter feed.
- Ceasefire
- Safe AI
- Data consent in AI
- Fettuccine Alfredo for dinner
Followed by:
- World peace
- Long term beneficial assistive and augmentative AI that neither harms nor exploits people
🙏
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Ack! @kareem_carr , I gotta pipe up.
1. The bias starts before the data
2. Algorithms create, and amplify, race/gender biases, racism, and sexism
3. By "bias" we usu mean discriminated characteristics
4. We have to first improve the culture to fix
FOUR things to know about race and gender bias in algorithms:
1. The bias starts in the data
2. The algorithms don't create the bias but they do transmit it
3. There are a huge number of other biases. Race and gender bias are just the most obvious
4. It's fixable! 🧵👇
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Delighted to announce Google's launch of Introduction to Fairness in Machine Learning! A collaboration between many of us, including my team. =) Also features a short video (with me =P) speaking to human biases in the ML cycle, and many other resources. blog.google/technology/ai/ne…
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Shaking while I read this.
The past 4 years at Google brought trauma and near-constant drama for me. Still, @timnitGebru and I cranked out papers and made a new org. Still, that wasn't good enough to avoid being thrown out and internationally disparaged.
bloomberg.com/news/articles/…
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New piece out!
We explain why Fully Autonomous Agents Should Not be Developed, breaking “AI Agent” down into its components & examining through ethical values.
huggingface.co/papers/2502.0…
With @evijit @SashaMTL and @GiadaPistilli (1/2)
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OpenAI's Sora is out! Creating video from text. Similar models from other tech companies will likely follow. There are COOL technical things and NOT COOL social things to know about. A super quick 🧵. 1/
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From the Stochastic Parrots paper, on use of the word "tantrum" to describe women's speech. 😕
ALT Screenshot of text from SP paper. Highlighted: "For example, describing a woman's account of her experience of sexism with the word _tantrum_ both reflects a worldview where the sexist actions are normative and foreground a stereotype of women as childish and not on control of their emotions."
I hope @timnitGebru does not block me. Since she started attacking me, 24 hours ago, 600 new followers have joined this platform. A coincidence? or perhaps people like seeing non-violent resistance to tantrum?
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Employer is broadcasting that @timnitGebru put forward a binary approach that she would "resign" if they didn't meet her demands.
She did not.
I realized I was on the email; I DIDN'T EVEN KNOW that was what they were talking about because she didn't even mention resignation.
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I somehow finally am working at a company where I can:
- Put forth ideas I love
- Have those ideas valued
- Wake up one day to find they've been implemented (!!!)
@huggingface continues to foster cultures of inclusion.
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Congratulations to my former co-lead @timnitGebru on launching the DAIR institute today. =)
Imagine! An AI center focusing on community, not exploitation; on real change, not meaningless PR.
So excited to see this come together.
dair-institute.org/
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Reminder on who Mustafa is. I wish I could be awful, alienate all the people who aren't my gender around me, and keep getting opportunities. ☹️
For me, and many technical woman, life punches you in the face with your worthlessness again and again and again and again...
ALT Business Insider screenshot: DeepMind's cofounder was placed on leave after employees complained about bullying and humiliation for years. Then Google made him a VP.
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