AI Ethics Weekly – April 6: Saving Lives – 1, Technology – 0

AI Ethics Weekly – April 6: Saving Lives – 1, Technology – 0
April 5, 2020 LH3_Admin

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As we slowly come to the realization that our world has changed forever, let’s pause for a moment to acknowledge the valuable contributions of the front line health care workers, delivery folks, cleaning crews, and other essential staff who have until now remained invisible because their work is not as sexy or glamorous as technology.

Millions have lost their jobs overnight and many others will follow. While our own personal circumstances seem overwhelming, here are 3 actions that you can take today to help those who will not survive this pandemic without your support.

Peer-to-peer AI-tracing of COVID-19
h/t David J. Gunkel @David_Gunkel
“Imagine that when you encounter someone you would be able to tell how much risk of being infected they would carry, so you could choose to keep your distances or not let them enter your store, your house or your vehicle.“ Read more.

Comments on COVID-19
h/t Alberto Cairo @AlbertoCairo
“Cathy O’Neil: Sunday reported deaths are lower than other days because of the way reporting happens. Doctors and others are taking a well-deserved rest. So don’t get excited about flattening curves based on Sunday data:” Read more.

Coronavirus Researchers: ‘We Don’t Need to Spy on Everyone to Track the Pandemic
“Privacy experts say they’re much more comfortable with researchers using aggregated data rather than information about individuals, and they prefer to keep the data in the hands of researchers rather than the government.” Read more.

Limitations of AI

AI can’t predict how a child’s life will turn out even with a ton of data
h/t Dagmar Monett @dmonett
“Hundreds of researchers attempted to predict children’s and families’ outcomes, using 15 years of data. None were able to do so with meaningful accuracy.” Read more.

Voicing Erasure
h/t Joy Buolamwini @jovialjoy
“Racially biased tech, sexist coverage: Algorithmic Justice League United responds to exclusion of women researchers in recent article on bias in voice recognition technology. Take a listen to “Voicing Erasure” featuring Allison Koe, Kimberle Crenshaw, Sasha Constanza-Chock, Ruha Benjamin, Safiya Noble, Megan Smith and Deb Raji Read more.

AI Ethics: Moving from Talk to Action

Federal Court Rules ‘Big Data’ Discrimination Studies Do Not Violate Federal Anti-Hacking Law
h/t Kathy Baxter @baxterkb
“In a major victory for civil liberties and civil rights enforcement…a federal court has ruled that research aimed at uncovering whether online algorithms result in racial, gender, or other discrimination does not violate the Computer Fraud & Abuse Act”. Read more.

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