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

Article 18. Algorithm Integrity: Training and Awareness


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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”.


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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).

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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processingBy Risk Insights: Yusuf Moolla