In this episode of the Responsible AI Report, Patrick and Dr. Richard Saldanha discuss the EU's AI Code of Conduct and its collaborative approach to AI governance. They explore the importance of adaptability in regulations, the balance between innovation and safety, and the need for qualified personnel in regulatory bodies. Richard emphasizes the significance of a principles-based approach and the role of collaboration among stakeholders in shaping effective AI regulations.

Takeaways

• The EU AI Act aims to create a global model for AI regulations.
• Collaboration between academia, industry, and civil society is crucial for effective AI governance.
• A principles-based approach allows for flexibility in AI regulation.
• Regulators should hire individuals with a strong understanding of technology.
• Balancing regulation and innovation requires pragmatism from all parties involved.
• A supportive regulatory environment can enhance technological development.
• Finding consensus among diverse stakeholders can be challenging.
• The UK aims to align with the EU AI Act while maintaining flexibility.
• Professional accreditation in AI skills is essential for industry growth.

Learn more by visiting:
1. Referenced article: https://www.ainews.com/p/eu-gathers-experts-to-draft-ai-code-of-practice-for-general-ai-models

2. EU AI Act 2024/1689: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1689

3. UK Automated Vehicles Act 2024: https://www.legislation.gov.uk/ukpga/2024/10/contents/enacted

4. Richard's Queen Mary University of London profile: https://www.qmul.ac.uk/sef/staff/richardsaldanha.html

5. Richard's Academic Speakers Bureau profile: https://www.academicspeakersbureau.com/speakers/richard-saldanha

6. The UK Institute of Science and Technology (IST) website: https://istonline.org.uk/

7. IST AI professional accreditation:
https://istonline.org.uk/professional-registration/registered-artificial-intelligence-practitioners/

8. IST AI training: https://istonline.org.uk/ist-artificial-intelligence-training/

Dr. Richard Saldanha is one of the founder members of the Institute of Science and Technology's Artificial Intelligence Special Interest Group in the UK. He is actively involved in the development of the Institute's AI professional accreditation as well as host of its online AI Seminar Series. Richard is a Visiting Lecturer at Queen Mary University of London where he teaches Machine Learning in Finance on the Master’s Degree Programme in the School of Economics and Finance. He is also an Industrial Collaborator in the AI for Control Problems Project at The Alan Turing Institute. Richard's earlier career was in quantitative finance (risk, trading and investments) gaining over two decades of experience working for institutions in the City of London. He is still actively engaged in quantitative finance via Oxquant, a consulting firm he co-heads with Dr Drago Indjic. Richard attended Oriel College, University of Oxford, and holds a doctorate (DPhil) in graph theory and multivariate analysis. He is a Fellow and Chartered Statistician of the Royal Statistical Society; a Science Council Chartered Scientist; a Fellow and Advanced Practitioner in Artificial Intelligence of the Institute of Science and Technology; a Member of the Institution of Engineering and Technology; and has recently joined the Responsibl

Support the show

Visit our website at responsible.ai