Artificial intelligence could take important decisions out of the hands of biased people and flawed processes and entrust them to supposedly objective algorithms. The dream is of prison sentences untinged by racism, and hospital care that prioritizes the neediest patients with pinpoint accuracy.
But the algorithms that power these platforms are only as good as the data supplied to them and the humans who build them. Chicago Booth’s Sendhil Mullainathan finds evidence that a faulty algorithm unfairly excluded Black patients from hospital care-management programs. Even when algorithms have good data, Chicago Booth’s Jean-Pierre Dubé sees ways in which they could be unintentionally racist.
However, Mullainathan’s research also points to the potential for enormous gains in both efficiency and equity using the transformational power of AI. With the right regulatory regime in place, he argues, algorithms can be scrutinized for bias without sacrificing their potential benefits.
“The Achilles’ heel of all algorithms is the humans who build them and the choices they make about outcomes, candidate predictors for the algorithm to consider, and the training sample. A critical element of regulating algorithms is regulating humans.”
Can we keep our flaws out of artificial intelligence and its decision-making?
A.I. Is Only Human
A Q&A on managing the social impact of A.I.
Can Regulation Rein In Algorithmic Bias?
Will algorithms fix what's wrong with American justice, or make things worse?
Law and Order and Data
Booth researchers are exploring what should drive corporate decisions in the twenty-first century.
Should Companies Focus on Profits?
Booth researchers are investigating how cultural norms and expectations affect women’s progress.
Why Is the Glass Ceiling So Tough to Crack?
Booth researchers are questioning if our personal data is making tech giants too powerful.
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Building Connections in Asia
A new initiative from Booth’s Center for Applied Artificial Intelligence aims to improve health-care algorithms for underrepresented groups.
Holding Algorithmic Bias at Bay
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The key to a successful A.I. startup isn’t sophisticated or proprietary technologies, but the part of data science that we don’t spend nearly enough time thinking about: the data.
A Blueprint for A.I. Products
Explore Booth faculty insights on mask mandates, vaccine acceptance, and more.
COVID-19 Thought Leadership Digest: April 21
Working papers from Booth faculty about the CARES Act, the influence of cable news on social distancing, and more.
COVID-19 Thought Leadership Digest: May 19
