Summary and key takeaways
Data plays a strategic role in AI, as AI capabilities thrive on highly qualitative, integrated, and connected data. The famous phrase garbage in, garbage out has never been more true when applied to AI’s ability to deliver on its promise.
The good news is that we can get immersive help from AI to fix the data challenges before we task AI with more comprehensive and advanced analytics.
Takeaway #1 – AI governance and AI ethics
AI governance involves creating a framework of policies and standards to ensure responsible AI development, focusing on transparency, accountability, and ethical operations. Ethics in AI emphasizes moral principles in design and deployment, prioritizing human rights, fairness, inclusivity, and privacy.
The challenge in implementing AI governance lies in addressing fundamental controls and accountability, such as ensuring fairness, determining liability for harmful AI decisions, and balancing privacy with societal...
