Webinar

Physical Course: "The AI Risk Management Academy: Empowering Responsible AI Development"

November 05, 2024 09:00 AM Europe/Copenhagen

Physical event held at Hotel D'Angleterre (Kongens Nytorv 34, 1050 København) on November 5, 2024 at 9:00 AM

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We are excited to invite you to "The AI Risk Management Academy: Empowering Responsible AI Development," a comprehensive program designed to provide you with the essential knowledge and skills needed to effectively manage AI risks in today's rapidly evolving technological landscape.

This academy offers a robust curriculum that covers the fundamental aspects of AI risk management through real-life use cases. You will gain a deep understanding of key risk areas and best practices to ensure responsible and effective AI deployment.

This course will be delivered through a series of 6 interactive classes, entirely taught in English, and featuring real-life case studies and practical insights:

 

  • Class 1: The AI Regulatory Landscape
    • Understand evolving AI regulations 
    • Navigate compliance across the EU, US, UK, and China.

 

  • Class 2: AI Governance & Responsible AI
    • Build a robust AI governance framework 
    • Implement risk management strategies.

 

  • Class 3: Risk Deep Dive - Bias, Fairness, and Explainability
    • Identify and mitigate bias
    • Enhance AI transparency and fairness.

 

  • Class 4: Risk Deep Dive - Security, Safety, and Privacy
    • Address security vulnerabilities, safety risks, and privacy concerns in AI systems.

 

  • Class 5: Risk Deep Dive - Reliability, Performance, and Robustness
    • Ensure AI system reliability, performance, and robustness through effective monitoring.

 

  • Class 6: Conformity and Audit
    • Learn about AI conformity assessments and strategies for audit readiness.

 

Ideal for professionals in AI development, deployment, and governance, it will provide you with practical insights and best practices for responsible AI deployment.

We look forward to welcoming you. 

Avishay Gaziel

Senior Risk Advisor, 2021.AI

Avishay has 18+ years experience in security and risk management in the banking, payments and pharma sectors. Avishay held executive roles in technology as well as enterprise risk management. At 2021.AI, he supports both customers and product teams on their journey towards implementation of Responsible AI and AI Risk Management.

Björn Preuß

Chief Data Scientist, 2021.AI

Björn is Assistant Professor at CBS for Corporate Finance and Risk Management and the Chief Data Scientist at 2021.AI. Björn has an investment banking background and has held positions as board member in investment firms and funds. Throughout his practical work and research memberships in i.a. the Center for Corporate Governance at CBS contributes Björn both to the practitioners as well as to the theoretical agenda of corporate governance and risk management.

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