AI is killing choice and chance – which means changing what it means to be human

By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.

Dan Feldman, Senior Research Fellow, Applied Ethics Center, University of Massachusetts Boston • conversation
Feb. 24, 2021 ~7 min

Making smart thermostats more efficient

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

Laboratory for Information and Decision Systems • mit
Dec. 18, 2020 ~6 min

Making data-informed Covid-19 testing plans

A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.

Scott Murray | Institute for Data, Systems, and Society • mit
Dec. 15, 2020 ~7 min

What is the Covid-19 data tsunami telling policymakers?

A global team of researchers searches for insights during a weeklong virtual “datathon.”

Kim Martineau | MIT Quest for Intelligence • mit
July 1, 2020 ~10 min

High-tech surveillance amplifies police bias and overreach

Police forces across the country now have access to surveillance technologies that were recently available only to national intelligence services. The digitization of bias and abuse of power followed.

Andrew Guthrie Ferguson, Professor of Law, American University • conversation
June 12, 2020 ~9 min

A data-driven response to a pandemic

Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.

Scott Murray | Institute for Data, Systems, and Society • mit
May 15, 2020 ~10 min

We designed an experimental AI tool to predict which COVID-19 patients are going to get the sickest

Researchers from New York University are designing AI algorithms to help predict COVID-19 outcomes.

Megan Coffee, Clinical Assistant Professor of Medicine, New York University • conversation
May 14, 2020 ~7 min

How much coronavirus testing is enough? States could learn from retailers as they ramp up

Testing everyone for COVID-19 isn't realistic in a country the size of the US, but there are ways to design testing systems that can catch most of the cases.

Siqian Shen, Associate Professor of Industrial and Operations Engineering, University of Michigan • conversation
April 21, 2020 ~7 min

3 Questions: Why sensing, why now, what next?

Brian Anthony, co-leader of SENSE.nano, discusses sensing for augmented and virtual reality and for advanced manufacturing.

MIT.nano • mit
Sept. 20, 2019 ~6 min

The MIT Press releases a comprehensive report on open-source publishing software

Report catalogs, analyzes available open-source publishing software; warns open publishing must grapple with siloed development and community-owned ecosystems.

Jessica Pellien | MIT Press • mit
Aug. 8, 2019 ~4 min

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