Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
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Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
What are the economics of the metaverse? Is your privacy safe when you make a financial transaction? What news scams and cons are criminals developing in the world of virtual reality? Flora Lau leads a cohort from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies – Terry Dugan, Sabeena Ahmed Liconte, Alex Southwell, Irene Byhovsky, Clark Abrams, and Adam Scott Wandt – in a discussion covering regulatory implications, privacy concerns, national security issues, and cybersecurity challenges. They share detailed analysis, use cases, and potential solutions to ensure a balance between innovation and regulation, while also considering the broader implications for privacy and security. They also touch on the importance of regulatory sandboxes and future technologies that may reshape our digital interactions.
Want to learn more about developing standards and best-practices for emerging technologies? Join us at the City Bar’s upcoming FinTech Conference on September 9. (This program will be available on-demand thereafter.) Visit nycbar.org/events to find all of the most up-to-date information about our upcoming programs and events.
01:07 Defining the Metaverse
02:52 Economic Aspects of the Metaverse
05:20 Financial Activities in the Metaverse
14:33 Regulatory Considerations for Financial Institutions
36:36 Privacy and Data Concerns in the Metaverse
51:25 Child Privacy and Financial Risks in the Metaverse
52:25 Global Perspective on Metaverse Adoption
54:13 Recommendations for Metaverse Platforms on Privacy
56:36 Challenges of Age Verification and Regulation
01:00:06 National Security Concerns in the Metaverse
01:00:51 Money Laundering and Financial Crimes in the Metaverse
01:17:40 Cybersecurity in the Metaverse
01:31:34 Future of the Metaverse and Regulatory Considerations
01:39:48 Conclusion and Final Thoughts
New York City Bar Association Podcast
Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
