4. Any obligation on industry to shoulder the responsibility for the displacement of workers because of AI.
— Ryan Calo (@rcalo) February 11, 2019
5. Now that I think of it, *any obligation on industry.*
6. A clear plan to protect researchers who audit AI for safety, privacy, or bias.
What's missing:
— Ryan Calo (@rcalo) February 11, 2019
1. Any reference to the uneven distribution of AI's costs and benefits, or its disproportionate impact on vulnerable populations.
2. Any clear requirement to reform federal procurement of AI.
3. Any actual new money for AI research.
@daniellecitron For our paper: "Artificial Intelligence will affect the missions of nearly all executive departments and agencies (agencies)."
— Ryan Calo (@rcalo) February 11, 2019
AI ethics expert @baxterkb from Salesforce Research shares her best practices for building safe and ethical AI with @WSJ: Don’t reinvent the wheel. Think about how ethics can be integrated into existing processes. Pay close attention to training data. https://t.co/nko7nf3We8
— Richard (@RichardSocher) January 30, 2019
Soooo a former IBM exec is now on the record saying she was ordered not to comply with a federal agency’s request that the company disclose the names of employees over 50 who’d been laid off. https://t.co/h12k8ecfPr
— Ariana Tobin (@Ariana_Tobin) January 29, 2019
For anyone who finds themselves in a conversation about how the U.S. needs to "stay competitive with China on AI", this is what that looks like. https://t.co/kBjUGuaLux
— Cathy O'Neil (@mathbabedotorg) January 28, 2019
Really interesting article on #AlgorithmicBias and fairness in #MachineLearning
— francesc (@francesc) January 26, 2019
A great read from @quaesita in support of @AOC's comments earlier this week!
“Pay attention to that man behind the curtain” by Cassie Kozyrkov https://t.co/bxZfjlRXQp
Remember how Amazon gave several employees low performance scores after they returned from cancer treatment or major surgeries.
— Rachel Thomas (@math_rachel) January 22, 2019
(It's also worth noting that the employees mentioned were all women.) https://t.co/71pnZRHysE pic.twitter.com/YyiAAzdrWI
There's no possible way for humans to monitor everything on YouTube, and its algorithms boost videos based on virality, not credibility. So we're trapped in this shadow realm where the world's biggest video site keeps spotlighting conspiracy-theory crap https://t.co/Q4KiCUg4ck pic.twitter.com/L0AwZkfBGa
— Drew Harwell (@drewharwell) January 11, 2019
It was a surprising claim from @ylecun that AI ethics does not have "huge life and death issues yet that need to be urgently solved". This is not correct.@facebookai itself has been involved in many life and death issues, eg: https://t.co/YWrydrJK75
— Jeremy Howard (@jeremyphoward) January 2, 2019
If I remember correctly they announced the tracking of all credit card purchases as a new feature on their conference either last year or the year before. I remember asking myself why any user would ever want that (https://t.co/3GMtIgr8qx)
— Sebastian Raschka (@rasbt) December 31, 2018
Even though these stories seem small, it is because they repeat themselves and accumulate that I feel so worn down. I am genuinely tired. I think about leaving the field [of machine learning] every other month. https://t.co/ewLWC5pZS9
— Rachel Thomas (@math_rachel) December 30, 2018
