Interpretability. Perhaps a detailed list of the factors that lead the AI to its conclusion would help?

https://www.bespacific.com/glass-box-artificial-intelligence-in-criminal-justice/

Glass Box Artificial Intelligence in Criminal Justice

Garrett, Brandon L. and Rudin, Cynthia and Rudin, Cynthia, Glass Box Artificial Intelligence in Criminal Justice (November 14, 2022). Available at SSRN: https://ssrn.com/abstract=4275661 or http://dx.doi.org/10.2139/ssrn.4275661 “As we embrace data-driven technologies across a wide range of human activities, policymakers and researchers increasingly sound alarms regarding the dangers posed by “black box” uses of artificial intelligence (AI) to society, democracy, and individual rights. Such models are either too complex for people to understand [Can you design something so poorly that you don’t understand what you did? Bob] or they are designed so that their functioning is inaccessible. This lack of transparency can have harmful consequences for the people affected. One central area of concern has been the criminal justice system, in which life, liberty, and public safety can be at stake. Judges have struggled with government claims that AI, such as that used in DNA mixture interpretation, risk assessments, facial recognition, and predictive policing, should remain a black box that is not disclosed to the defense and in court. Both the champions and critics of AI have argued we face a central trade-off: black box AI sacrifices interpretability for predictive accuracy. We write to counter this black box myth. We describe a body of computer science research showing “glass box” AI that is interpretable can be more accurate. Indeed, criminal justice data is notoriously error prone, and unless AI is interpretable, those errors can have grave hidden consequences. Our intervention has implications for constitutional criminal procedure rights. Judges have been reluctant to impair perceived effectiveness of black box AI by insisting on the disclosures defendants should be constitutionally entitled to receive. Given the criminal procedure rights and public safety interests at stake, it is especially important that people can understand AI. More fundamentally, we argue that there is no necessary tradeoff between the benefits of AI and the vindication of constitutional rights. Indeed, glass box AI can better accomplish both fairness and public safety goals.”

Reading like I’m retired…

https://www.bespacific.com/lets-be-honest-every-year-is-a-good-one-for-books/

Let’s be honest, every year is a good one for books

100 Notable Books of 2022 Chosen by the staff of The New York Times Book Review Nov. 22, 2022. Sort by: Fiction/Poetry, Nonfiction, Memoir, History or Science.

See also Washington Post – The 10 best books of 2022. By Washington Post Editors and Reviewers

Perspective.

https://www.bespacific.com/iapp-ey-annual-privacy-governance-report-2022/

IAPP-EY Annual Privacy Governance Report 2022

Published: November 2022 View Executive Summary (PDF) – View Full Report (Members-Only)

“This report is meant to serve as a point-in-time “check-in” for the privacy profession. What does the average privacy office look like in 2022? We asked our global membership to complete the 29-question governance survey. Over the course of 10 weeks, more than 700 responded from more than 40 countries. This year’s research focused on five key foundational areas of governance:

• Governance and operating model: The organizational structures, roles and responsibilities for managing the collection, use, retention, disclosure and disposal of personal data.

• Privacy strategy and planning: The activities undertaken by the privacy office to determine the strategic direction of the privacy office and its associated planning activities.

• Compensation management: The annual process of determining the compensation of privacy office staff.

• Budget management: The processes and activities supporting the development, approval and spending of annual privacy budgets.

• Performance metrics and monitoring: The processes and measurements to understand how the organization is performing against privacy strategy.”