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MIT Science Policy Review
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Category: Artificial Intelligence

Artificial Intelligence

Algorithmic Bias: Looking Beyond Data Bias to Ensure Algorithmic Accountability and Equity

Savannah Thais3 Hannah Shumway , and Austin Iglesias Saragih

Minimizing bias in public sector algorithms requires holistic regulation.

View More Algorithmic Bias: Looking Beyond Data Bias to Ensure Algorithmic Accountability and Equity
Artificial Intelligence

Breaking down the impact of automation in manufacturing

Alison Fang3 Vickie Chen , and Matthew A. McDonald

The impact of automation is nuanced, providing huge benefits to the economy, consumers, and society while altering existing job markets.

View More Breaking down the impact of automation in manufacturing
Artificial Intelligence Space & Security

AML by design: Designing a central bank digital currency to stifle money laundering

Robert Z. Mahari3 Thomas Hardjono , and Alex Pentland

Future digital currencies can be designed to limit money laundering.

View More AML by design: Designing a central bank digital currency to stifle money laundering
Artificial Intelligence Space & Security

Survey and analysis of U.S. policies to address ransomware

Jenny Blessing3 Jules Drean , and Sarah Radway

The emerging ransomware era could be mitigated by targeted U.S. regulation.

View More Survey and analysis of U.S. policies to address ransomware
Artificial Intelligence Space & Security

Lethal autonomous weapons systems & artificial intelligence: Trends, challenges, and policies

Shayne Longpre3 Marcus Storm , and Rishi Shah

Autonomous weapon systems are proliferating rapidly leading to major
humanitarian risks.

View More Lethal autonomous weapons systems & artificial intelligence: Trends, challenges, and policies

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Recent Articles

Uncatagorized

A vision for policy education in science

Bertrand Neyhouse

MIT SPR’s Editor-in-Chief for Volume IV discusses what role the Review will play in educating scientists.

Artificial Intelligence

Algorithmic Bias: Looking Beyond Data Bias to Ensure Algorithmic Accountability and Equity

Savannah Thais3 Hannah Shumway , and Austin Iglesias Saragih

Minimizing bias in public sector algorithms requires holistic regulation.

Science Enterprise

Technologists as policy advisors: A conversation with Dr. Arati Prabhakar

Natalie D. Gehred , and Luke Petersen

A conversation about the role scientists and engineers play in public policy.

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