With the rapid growth and availability of artificial intelligence (AI) capabilities, many organizations are eager to leverage them for business optimization, profitability and customer engagement. However, there are significant barriers to AI adoption in terms of ethics, security, fairness and accountability. Organizations are looking to adopt standards and frameworks that address these risks and provide assurance to executive and legal stakeholders that they are implementing AI the right way. This conversation explores: - Potential risks when adopting AI with detailed examples. - How to set up/complete an AI risk assessment. - Risk mitigation strategies and frameworks. - Benefits of risk mitigation. Similar episodes: - Beyond generative AI: https://www.soundcloud.com/catalyte-sourcing-for-innovation/beyond-generative-ai - Probabilistic vs deterministic systems: https://www.soundcloud.com/catalyte-sourcing-for-innovation/probabilistic-vs-deterministic-systems - The impact of different data types on AI implementation: https://www.soundcloud.com/catalyte-sourcing-for-innovation/data-impact-ai-implementation - What AI do you need?: https://www.soundcloud.com/catalyte-sourcing-for-innovation/what-ai-do-you-need For more information on Catalyte’s AI advisory services, visit: https://www.catalyte.io/services/solutions/ai-advisory-services/