In this episode we examine the use of secret or black box algorithms for high-stake decisions, particularly in the criminal justice system. How do they factor in the decisions made every day by state and federal courts concerning bail, sentencing, and parole? Are black box algorithms fair and unbiased? Do they help counteract or support societal prejudices? Is their use in criminal justice cases serving the public’s best interest?
We discuss these issues and more with two experts on the topic: Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics and Director of the Interpretable Machine Learning Lab at Duke University and Brandon Garrett, Professor of Law and founder of the Wilson Center for Science and Justice at Duke University.
ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?
Polling for 2024 U.S. Election: What Should Voters Look for and Trust?
What Does AI Buy Us or Cost Us? Views From the Financial Industry
In God We Trust: Everyone Else Must Bring Data or Liberty
Celebrating Holidays and Milestones of HDSR
Policing the Predictive Policing: The Promises and Perils of AI Technologies
Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention
Out of Data Space? Explore Outer Space!
What is Data Science?
Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?
Under the Sheets: Producing, Protecting, and Probing Intimate Data
How Do Data Help Us Weigh the Benefit, Risk, and Cost of Ozempic (and other “Magic” Drugs)?
The Intelligence and Rationality of AI and Humans: A Conversation With Steven Pinker
70 Years After the Kinsey Reports: Is Data Science Improving Our Sex Studies (and Lives?)
From Financial Markets to ChatGPT: A Conversation With Andrew Lo
I Promise to Exercise Every January: Can Data Science Help My New Year’s Resolution?
Does Praying Work? Let’s Pray Data Science Can Help to Answer
I Want a Perfect Face (and Bra): Can Data Science Help?
It’s Election Time Again—Do We Predict Better This Time?
Personalized Treatments: Is That Possible and What Can Data Science Tell Us?
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