Article 18. Algorithm Integrity: Training and Awareness

Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing

Spoken by a human version of this article.
Ongoing education helps everyone understand their role in responsibly developing and using algorithmic systems.
Regulators and standard-setting bodies emphasise the need for AI literacy across all organisational levels.
Links

• ForHumanity - join the growing community here.
• ForHumanity - free courses here.
• IAIS: The International Association of Insurance Supervisors is developing a guidance paper on the supervision of AI.
• DNB: De Nederlandsche Bank - 6 general principles for the use of AI in the financial sector.
• ASIC: The Australian Securities & Investments Commission - report.
• NIST: The National Institute of Standards and Technology - AI Risk Management Framework.
• EU AI Act: The European Union Artificial Intelligence Act - specific expectation about “AI literacy”.

About this podcast
A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.
Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).