Deploying artificial intelligence (AI) has complex challenges concerning ethics, transparency, bias, and fairness. AI governance can mitigate these challenges. What is AI governance? OECD has proposed that artificial intelligence (AI) governance refers to the comprehensive framework of policies, regulations, ethical guidelines, and processes designed to oversee the development, deployment, and utilization of artificial intelligence (AI) systems in a manner that is ethical, transparent, and aligned with societal values. According to IBM, artificial intelligence (AI) governance refers to the processes, standards and guardrails that help ensure AI systems and tools are safe and ethical. AI governance frameworks direct AI research, development and application to help ensure safety, fairness and respect for human rights.
Read MoreGenerative AI is dominating headlines, boardroom discussions, and innovation budgets. From marketing copy to code generation, it's being hailed as the most revolutionary technology since the internet. But while enterprise leaders are captivated by the promise of artificial intelligence, few are seeing real returns on their investments.
Read More