BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:611@fds.yale.edu DTSTART;TZID=America/New_York:20240328T160000 DTEND;TZID=America/New_York:20240328T170000 DTSTAMP:20250916T142131Z URL:https://fds.yale.edu/events/fds-x-math-colloquium-phillip-atiba-solomo n-f-k-a-goff-the-after-math-of-injustice/ SUMMARY:FDS x Math Colloquium: Phillip Atiba Solomon (f.k.a. Goff)\, "The A fter Math of Injustice" DESCRIPTION:Speaker: Phillip Atiba Solomon f.k.a. GoffChair and Carl I. Hov land Professor of African American Studies and Professor of Psychology\n\n \n\nThursday\, March 28\, 20243:30pm: Tea reception\, Kline 8th Floor Loun ge4:00pm: Talk\, Kline 13th Floor\, Room 1327\n\n\n\nTitle: The After Math of Injustice\n\n\n\nAbstract: Predictive analytics using large datasets h ave long held the promise to improve human decision-making in the most cri tical domains. Predictive AI is currently deployed to spot cancer and atri al fibrillation before any modern instruments can. Business supply chains can now be scanned both for vulnerabilities and for opportunities to reduc e environmental/community harm. And cities may soon use predictive AI to m ake decisions about what resources are needed where and when to stave off consequences of climate change (e.g.\, fires\, dangerous heat\, flooding\, etc.) It was supposed to be the same in public safety and policing. Howev er\, because our criminal legal system was designed with the goal of produ cing racially disparate outcomes (among other goals)\, there are significa nt moral hazards in equipping police with tools that purport to identify l ocations\, times\, and individuals likely to be associated with crime. Whi le much ink has been spilled on both the so-called “denominator” probl em in predictive policing and the “endogeneity problem” in both predic tive policing and algorithmic risk assessment tools\, these approaches ten d to focus on the technical obstacles to producing so-called “accurate ” models. What the literature rarely engages fully is the more fundament al question: When does math help and when does it hurt vulnerable communit ies? In this presentation\, I intend to present the historical context nec essary for making a decision about when to use “fancy math” (in the pa rlance of several chiefs and activists with whom I have worked) and when m ore harm than good is likely to result. I will then draw on my own work (b oth research and praxis) with police and communities over the past 20+ yea rs to discuss patterns of cost and benefit and\, I hope\, reveal principle s capable of putting guardrails around these enormously powerful tools.\n\ n\n\nBio: Phillip Atiba Solomon (f.k.a. Goff) is the Carl I. Hovland Profe ssor of African American Studies and Professor of Psychology at Yale Unive rsity. He received his AB from Harvard and PhD in Psychology from Stanford . He quickly became a national leader in the science of racial bias by pio neering scientific experiments that exposed how our minds learn to associa te Blackness and crime implicitly—often with deadly consequences. This r esearch led Dr. Solomon to co-found the Center for Policing Equity (CPE)\, a university research center now supported by the 501(c)(3) Policing Equi ty organization. Created at UCLA\, where Dr. Solomon took tenure\, the Cen ter grew to be the world’s largest research and action think tank on rac e and policing. CPE also hosts the world’s largest collection of police behavioral data in the National Science Foundation-funded National Justice Database. This database now serves as a tool to reduce burdensome and ine quitable policing through scientific analyses. Dr. Solomon has won two Ame rican Psychological Association early career awards\, the Association for Psychological Science Rising Star award\, and the National Organization of Black Law Enforcement Executive’s Lloyd G. Sealy Award\, among many oth ers. He regularly appears on cable news\, provides congressional testimony \, and was a panelist for President Obama’s Task Force on 21st Century P olicing.\n\n\n\nMath Department Link\n ATTACH;FMTTYPE=image/jpeg:https://fds.yale.edu/wp-content/uploads/2024/03/ 2024-03-28-The-After-Math-of-Injustice.png CATEGORIES:FDS Events,Special Seminar,Colloquium,Seminar Series END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR