Don’t Panic! Getting Real about AI Governance
Released: 09/18/2024
The excitement around Generative AI and its potential business value continues to grow. A major factor is AI systems' emerging capability to mimic human-level (non-deterministic) judgment. Although these advancements do present significant opportunities, they also come with a wide range of new risks and regulatory mandates. Known risks, like data privacy, are magnified and compounded in this context as well.
This publication aims to help organizations address these AI risks and regulatory concerns. It recommends a risk-based approach that frames AI compliance and governance as a question of maturity. Implementing AI ethics principles and responsible AI is encouraged. The ultimate goal is to help professionals evaluate their options for developing and using AI tools.
Key Takeaways:
- The importance of explainable AI and accountability
- Unique AI challenges
- Key factors for AI adoption
- The importance of adopting a risk-based approach to AI governance
- The need to proactively prepare for AI regulations by integrating responsible and ethical AI practices
- An overview of the NIST AI Risk Management Framework
- An overview of current AI maturity models and their gaps
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Best For:
- Business leaders and executives
- Compliance and risk management professionals
- Data scientists
- AI practitioners
- IT and security professionals
- Researchers and academics
