Difference between revisions of "Law"
m |
m (→Artificial Intelligence Law) |
||
| Line 179: | Line 179: | ||
|| | || | ||
<youtube>BTkXas77jeg</youtube> | <youtube>BTkXas77jeg</youtube> | ||
| − | <b> | + | <b>Artificial Intelligence (AI) Ethics: Law, Governance and Public Policy |
| − | </b><br> | + | </b><br>Artificial intelligence is fraught with legal, ethical, and public policy challenges. This episode brings two esteemed experts to discuss these issues and present guidance for both commercial companies and the public sector. |
| + | |||
| + | Dr. David A. Bray is CIO of Federal Communications Commission. He began work in public service at age 15, later serving in the private sector before returning as IT Chief for the CDC’s Bioterrorism Preparedness and Response Program during 9/11; volunteering to deploy to Afghanistan to “think differently” on military and humanitarian issues; and serving as a Senior Executive advocating for increased information interoperability, cybersecurity, and civil liberty protections. He serves as a Visiting Executive In-Residence at Harvard University, a member of the Council on Foreign Relations, and a Visiting Associate at the University of Oxford. | ||
| + | |||
| + | Kay Firth-Butterfield is a Barrister and part-time Judge and has worked as a mediator, arbitrator, business owner and professor in the United Kingdom. In the United States, she is Chief Officer, and member, of the Lucid.ai Ethics Advisory Panel (EAP) and an adjunct Professor of Law. Kay is a humanitarian with a strong sense of social justice and has advanced degrees in Law and International Relations. Kay co-founded the Consortium for Law and Policy of Artificial Intelligence and Robotics at the University of Texas and taught its first course: Artificial Intelligence and Emerging Technologies: Law and Policy. She is Vice Chair of the IEEE Industry Connections Committee “Global Initiative for Ethical Considerations in the Design of Autonomous Systems”. | ||
|} | |} | ||
|<!-- M --> | |<!-- M --> | ||
| Line 187: | Line 191: | ||
|| | || | ||
<youtube>E48Yiu92B_U</youtube> | <youtube>E48Yiu92B_U</youtube> | ||
| − | <b> | + | <b>Artificial Intelligence Today—Tomorrow's Legal Challenges of Machine Learning |
| − | </b><br> | + | </b><br>United States Court of Appeals for the Ninth Circuit 2017 Ninth Circuit Judicial Conference |
| + | |||
| + | Artificial Intelligence Today—Tomorrow's Legal Challenges of | ||
| + | Machine Learning | ||
| + | |||
| + | Once an area limited primarily to academic study, Artificial Intelligence ("AI") now enables a constellation of technologies that we take for granted such as Internet search algorithms; computer and phone speech assistants; self-driving cars; health care diagnostics; investment platforms; industrial robots; and home heating; cooling and security. This is just the beginning. AI technology is growing rapidly. As it grows, it will not merely be an aid to human activity, but a powerful force that reshapes our world, our thinking, our lives, and our constitutional principles. In this panel presentation we discuss what AI is, its status today, what the future might hold, and some of the critical issues courts may face in addressing the impact of AI. | ||
| + | |||
| + | Introduction: | ||
| + | Michelle M. Pettit, Assistant U.S. Attorney, CAS At-Large Member, Conference Executive Committee | ||
| + | |||
| + | Speakers: | ||
| + | Hon. Mariano-Florentino Cuéllar, Associate Justice, California Supreme Court | ||
| + | Ryan Calo, Assistant Professor, University of Washington School of Law and Co-Director, Washington Tech Policy Lab, University of Washington | ||
| + | Kate Crawford, Principal Researcher, Microsoft Corporation Social Media Collective, and Senior Fellow, New York University, Information and Law Institute | ||
| + | Tim Hwang, Esq., Google Policy Team | ||
| + | Yann LeCun, Director of AI Research at Facebook, Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering, New York University | ||
| + | William Santana Li, CEO & Founder, Knightscope Inc. | ||
|} | |} | ||
|}<!-- B --> | |}<!-- B --> | ||
| − | |||
| − | |||
Revision as of 12:17, 8 September 2020
Youtube search... ...Google search
- Case Studies
- Computer Fraud and Abuse Act (CFAA)
- LegalSifter
- knowsPremonition generated the World's largest litigation database, and able to read and analyze over 50,000 documents a second.
- AI Judges and Juries | Logan Kugler - Communications of the ACM
- AI vs. Lawyers: The Future of Artificial Intelligence and Law | Merve A. Kızrak - Interesting Engineering
- Bnh.ai ...a law firm focused on AI ...Sample AI Incident Response Checklist
|
|
|
|
|
|
|
|
Contents
Extracting Legal Data
|
|
Contracts
|
|
Blockchain, AI and Law
|
|
Artificial Intelligence and Law – An Overview and History
Artificial Intelligence LawYouTube search... ...Google search Having a usable definition of AI – and soon – is vital for regulation and governance because laws and policies simply will not operate without one. This definition problem crops up in all regulatory contexts, from ensuring truthful use of the term “AI” in product advertising right through to establishing how next-generation automated weapons systems (AWSs) are treated under the laws of war. ________________________________________
|