Trustworthy AI : De-risk business adoption of AI
by Pamela Gupta
November 7, 2024 7:00 am
Description: Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized. We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.
McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.
Recent Episodes
Preparing Business for Generative AI Success
1 week agoAI Trust Management
2 months agoSecuring GenAI: Secure our Future
2 months agoTrustworthy AI imperative for Investors
3 months agoHealthcare Trustworthy AI: De-risk adoption of AI
6 months agoRole of Privacy, Trusted AI in Biotechnology
7 months agoImplementing Trustworthy AI at one the largest telecommunications companies in the world
7 months agoDe-risk adoption of AI - Facial Recognition
8 months agoResponsible/Trustworthy AI in Manufacturing
8 months agoBuilding Trustworthy Generative AI and LLMS
8 months ago