Resources Archives - Page 8 of 26

Jillian Snavely | Being on the Top Floor and Down on the Farm

November 26, 2024/in Podcasts & Media, Reciprocity with AG /by Andrew Gadomski

Jillian shares insights on leadership techniques, the importance of building relationships, the balance between work and life, and how personal experiences influence professional development. The podcast touches on topics like occupation principles like mental focus, community building, and vulnerability while she discusses her passion for the power of gifting, her faith-based activities, and a unique family life. The episode ends with a lightning round of fun, rapid-fire questions. …

Future Privacy Forum Offers a Nice Cheat Sheet on US State AI + Employment

October 1, 2024/in AI and Employment /by Andrew Gadomski

The supplementary document supports the Future of Privacy Forum’s September 2024 report on U.S. State AI Legislation and organizes materials into four tables. It includes key bills and laws, definitions for regulating AI in consequential decisions, language and sub-requirements for business obligations, and individual rights. It’s a pretty comprehensive guide. The supplementary report can be found here [Open Source]

PEAT Releases a World Class Framework Intersecting AI and Individuals with Disabilities

September 30, 2024/in AI and Employment /by Andrew Gadomski

PEAT is funded by the U.S. Department of Labor’s Office of Disability Employment Policy and managed by federal contractors at Wheelhouse Group, a Cadmus Company. What are the highlights? Know your legal […]

Promoting Ethical AI: Australia’s AI Ethics Framework and Human Rights Commission

September 30, 2024/0 Comments/in AI and Employment /by Andrew Gadomski

Introduction Australia has been at the forefront of promoting ethical AI through its comprehensive AI Ethics Framework and the initiatives led by the Australian Human Rights Commission. These efforts aim […]

Japan AI Safety Institute Produces AI Guidelines

September 25, 2024/in AI and Employment /by Andrew Gadomski

A strong document with a great outline on how to measure AI safety. The rapid spread of AI technologies has been driven by improvements in computing performance and semiconductor processing […]