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The slide is divided into two sections with a large green title at the top. The left side contains a block of text outlining the key findings related to AI risks and concerns, governance issues, and active management steps. On the right, a pie chart illustrates strategies organizations are implementing to manage AI risks, with percentages. The slide background is white with a green design element on the left and the number '18' at the bottom right corner.
Risk Assessment and Management
Technology & Software
This slide details the governance and risk management practices for generative AI implementation, identifying concerns like inaccurate results, copyright infringement, and systemic bias. It summarizes a survey's findings from Q4 2023 and presents management strategies adopted by organizations, such as monitoring compliance and conducting internal audits. This content is crucial for informing businesses about common risks associated with AI and the importance of establishing robust governance frameworks to manage these risks effectively.
generative AI, risk management, governance, compliance, audits, bias, data privacy, regulation, survey findings, Q4 2023
Specific generative AI risks and concerns include inaccurate results and information (i.e., “hallucinations”); legal risks such as plagiarism, copyright infringement, and liability for errors; privacy and data ownership challenges; lack of transparency, explainability and accountability; and systemic bias.
Specific generative AI risks and concerns include inaccurate results and information (i.e., “hallucinations”); legal risks such as plagiarism, copyright infringement, and liability for errors; privacy and data ownership challenges; lack of transparency, explainability and accountability; and systemic bias.Insights from the leading edge of generative AI adoption
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