Michael Hind

IBM Distinguished RSM, working AI transparency, governance, explainability, and fairness. Proud husband & dad, Soccer lover. Tweets are my own.

[Michael Hind @michael_hind]

Are you wondering how you can evaluate some of the risks of a foundation model before you deploy it? Read on .... https://t.co/Z2iyLCYRwy

[Lucy Family Institute for Data & Society @lucy_institute]

🚀 Just launched: BenchmarkCards – a toolkit for safer, more transparent #AI!

Built by @Lucy_Institute & @IBMResearch, supported by @NotreDameEthics, it’s now part of IBM Research’s open-source Risk Atlas Nexus for AI governance.

Learn more: https://t.co/Dm6VGODOGf
#AIDay

[Michael Hind @michael_hind]

@peacock Can you please tell your Premiere league directors that we watch live soccer to ... watch live soccer!!! We should never miss *any* live action because of a replay.
When the ball is in play, we don't need crowd shots, coach shots, or replays.
*All* action is important!

[Michael Hind @michael_hind]

Kiran Treacy-Hind scoring his first collegiate goal for D1 @FDUKnightsMSOC

[Kush Varshney कुश वार्ष्णेय @krvarshney]

Our team open-sourced two new models: Granite Guardian 3.0 2B and Granite Guardian 3.0 8B.

Read more: https://t.co/yf26XWCDnI

Hugging Face: https://t.co/Nq44mI6W4d

Documentation: https://t.co/dfAvo2k5FO

Try them out!

[Data Nutrition Project @makedatahealthy]

We are thrilled to have co-authored this report offering ✨guidance on #AI transparency✨, with an superb set of coauthors @michael_hind @mmitchell_ai @stoyanoj @jennwvaughan @EmilyNexus @mcmillan_majora @kaschm @SarahWNewman + more

[Michael Hind @michael_hind]

It's great to work with such amazing and impactful colleagues!

[Kush Varshney कुश वार्ष्णेय @krvarshney]

I wanted to share a bunch of ideas the human-centered and trustworthy AI teams at IBM Research labs worldwide have been simmering and are now externalizing. I encourage topics that might not be hyped, but are nevertheless important and ones that researchers believe in. /1

[Michael Hind @michael_hind]

I enjoyed my recent interview on the AI Risk Reward podcast with host Alec Crawford (@alec06830).
You can hear it here: https://t.co/e1DQAOzkbj

[Ranjana Kushwaha @ranjana_kush]

Can #AI be trusted?

Watch Dr Kush R. Varshney(@@krvarshney) explaining what is trustworthy AI and how it can be ensured!

[Michael Hind @michael_hind]

@KateKayeReports @krvarshney @sharongoldman @thepamdixon @privacyforum @scheidegger @geomblog (That should read 1000s have used it.)

[Michael Hind @michael_hind]

@KateKayeReports @krvarshney @sharongoldman @thepamdixon @privacyforum @scheidegger @geomblog AIF360 provides "speedometers" and "brakes" for AI bias. Based on the work of the scientific community, it contains tools to measure bias and techniques like Disparate Impact Remover to reduce/mitigate it. These tools are open source & free to anyone to use. 100s have used it.

[Michael Hind @michael_hind]

@KateKayeReports @krvarshney @sharongoldman @thepamdixon @privacyforum @scheidegger @geomblog The AIF360 guidance page (https://t.co/yhH7VZBcMm) provides guidance on its use and the complexity of this area. The tool does not advocate any bias threshold policy as seems to be implied by the article.

[Michael Hind @michael_hind]

@KateKayeReports @krvarshney @sharongoldman @thepamdixon @privacyforum @scheidegger @geomblog Thus, I think it is misguided to disparage AIF360 based on a paper it cites that took a reasonable approach to an open problem: what is an acceptable threshold for bias.

[Kush Varshney कुश वार्ष्णेय @krvarshney]

“Modern advertising techniques use all available user information — including their privacy decisions — to construct more accurate user profiles. Users should be aware that their cookie decisions can have counterintuitive effects.” https://t.co/2gysxJaGJG https://t.co/5WY9OuvdSA

[Tim Needles @timneedles]

Interesting day learning about new #ArtificalIntelligence developments with @michael_hind of @IBM & @derektranchia at the @nassautract workshop held at @HofstraU- always something new to learn!

[Rose Luna @RoseMLuna]

At the Understanding AI conference with @amurray71 . Great learning from presenters @michael_hind and @DerekTranchina at the @nassautract @HofstraU #ArtificialIntelligence #tlchat