Welcome to December 2024’s “Book of the Month” column. This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website.
This book offers readers a strong foundation in AI governance. While the emergence of generative AI (GenAI) has brought AI governance to the forefront of discussions, Sunil emphasizes the extensive nature of various other AI use cases and the necessary governance for each. Whether the application for AI governance is machine belarus rcs data learning, GenAI, or another use case, this book proves to be an indispensable reference. “AI Governance Comprehensive” provides detailed information on use cases, regulations, controls, and the tools that vendors are providing in the marketplace today. Additionally, the book provides a framework for AI governance, a 13-step wheel that describes the activities of AI governance, complete with the roles, responsibilities, and activities in each step of the governance process.
One of the key themes in “AI Governance Comprehensive” is the mitigation of bias in AI systems and the crucial role of human oversight. AI systems, while powerful, are not immune to biases that can arise from the data they are trained on or the algorithms they employ. These biases can lead to unfair or discriminatory outcomes, which can have significant ethical and societal implications. To address this, the book emphasizes the importance of maintaining a human-in-the-loop approach. This involves integrating human judgment and decision-making at critical points in the AI lifecycle to ensure accountability, transparency, and fairness. By doing so, organizations can better manage and mitigate biases, ultimately fostering more equitable and trustworthy AI systems. The presence of human oversight also enables continuous monitoring and adjustment, ensuring that AI systems align with ethical standards and societal values.