Post #1517089

2024-12-27 21:49 UTC

#reading #ML Mitigating Bias in Machine Learning Edited By @drcaberry Brandeis Hill Marshall „We dedicate this work to the diverse voices in #AI who work tirelessly to call out bias and work to mitigate it and advocate for #EthicalAI every day. Some of the trailblazers doing the work are @ruha9 @timnitGebru @cfiesler Joy Buolamwini @ruchowdh @safiyanoble We also dedicate this work to the future engineers, scientists, and sociologists who will use it to inspire them to join the charge.“

Replies (2)

@debby@hear-me.social 2025-01-09 17:14

@teixi@mastodon.social @drcaberry@blacktwitter.io @ruha9@mastodon.social @timnitGebru@dair-community.social @cfiesler@hci.social @ruchowdh@mastodon.social @safiyanoble@dair-community.social :heart_cyber: great book

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@giacomo@snac.tesio.it 2025-04-01 05:45

@teixi@mastodon.social #EthicalAI is a smokescreen. You shouldn't require #AI to be ethical but corporations to be fully accountable for each of its outputs and to pay each of the authors and each of the data subjects whose work or personal data is compiled and compressed in their "models". The use of personal data without explicit and removable consent shouldn't be "unethical", but a penal crime leading people in jail for several years, to pay exponential demages and to the distruction of the model created. With such a legal regime, the interests AI companies will finally align with those of the people. Bonus point: several bilionaries will go to jail for a long long time. @drcaberry@blacktwitter.io @ruha9@mastodon.social @timnitGebru@dair-community.social @cfiesler@hci.social @ruchowdh@mastodon.social @safiyanoble@dair-community.social

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