Episode 67: Task Force on Sexual Harassment and Assault
Donna LaLonde, Kristian Lum, and Leslie McClure discuss the ASA Task Force on Sexual Harassment and Assault.
Predictive Policing
Kristian Lum (@KLdivergence) joins me this week to discuss her work at @hrdag on predictive policing. We also discuss Multiple Systems Estimation, a technique for inferring statistical information about a population from separate sources of observation.
If you enjoy this discussion, check out the …
Prediction vs. Bias in Data: A Debate
This panel from our Do Good Data | Data on Purpose conference features conference co-hosts Lucy Bernholz of Stanford PACS and Andrew Means of Uptake, along with Stanford education professor Candace Thille, and Kristian Lum, lead statistician at the Human Rights Data Analysis Group. The discussion f…
Predictive Policing: Bias In, Bias Out
Kristian Lum will elaborate on the concept of “bias in, bias out” in machine learning with a simple, non-technical example. She will then demonstrate how applying machine learning to police records can result in the over-policing of historically over-policed communities. Using a case study from Oa…
Bytes on the Beat: How Predictive Analytics Amplifies Discriminatory Police Practices
Selection Bias, Confirmation Bias and the Feedback Loop of Predictive Policing Algorithms, the Black Box Problem of Proprietary Algorithms and Lack of Accountability
Discussion with Kristian Lum and William Isaac on how machine learning algorithms work and how seemingly neutral police data can perp…
EP. 77 – The impact of AI and algorithms on the fairness of our justice systems
THE CROSS-EXAMINATION – We, along with the rest of the legal industry, have talked at length about the impact of artificial intelligence (AI) on our profession. But this time we concern ourselves not with the efficiencies of machine learning and automation, but instead with potential injustice and…
Bytes on the Beat: How Predictive Analytics Amplifies Discriminatory Police Practices
Selection Bias, Confirmation Bias and the Feedback Loop of Predictive Policing Algorithms, the Black Box Problem of Proprietary Algorithms and Lack of Accountability
Discussion with Kristian Lum and William Isaac on how machine learning algorithms work and how seemingly neutral police data can perp…
Who Knows? Fact-Finding in a Failing State w/ HRDAG and Data & Society
Everything is happening so fast. And a lot of it’s bad. What can research and science organizations do when issues are complex, fast-moving, and super important?
More like this: Independent Researchers in a Platform Era w/ Brandi Guerkink
Building knowledge is more important than ever in times like…
EP. 77 – The impact of AI and algorithms on the fairness of our justice systems
THE CROSS-EXAMINATION – We, along with the rest of the legal industry, have talked at length about the impact of artificial intelligence (AI) on our profession. But this time we concern ourselves not with the efficiencies of machine learning and automation, but instead with potential injustice and…
เครื่องมือค้นหาพอดแคสต์
คุณสามารถใช้เว็บไซต์ของเราเพื่อค้นหาพอดแคสต์ของ3,821,958และตอนของ195,437,509ตามบุคคล สถานที่ หรือหัวข้อ
การลงทุนในความรู้ให้ผลตอบแทนดีที่สุด ฉันจึงฟังพอดแคสต์
‐ Benjamin "Llamacorn" Franklin
