With the exponential growth in AI applications comes a reconsideration by the public and AI users regarding the fairness of systems, their robustness, and efficacy. Businesses are juggling the advent of a new industrial revolution while making sure attention is given to risks such as “can these systems damage our reputation? What are the regulatory requirements? And are there any financial risks to using such systems?”
In this industry-centered fireside chat we explore the intersection of two perspectives on how organizations can build frameworks that support trustworthy AI. In particular, we look at best practices for auditing and building trustworthy AI in finance and accounting sectors. Our talk includes:
If you couldn’t make it on Monday or want to revisit the topics we covered, you can also access the recording on-demand above as well as work through some of the questions posed in the event below.
Highly regulated industries like finance and accounting have lower theshholds for error than many other industries. This means efficiency gains from AI and automation need exceedingly well thought through frameworks and processes for building trust. Once you’ve explored the perspective of industry leader Mindbridge through our fireside chat guest Danielle Supkis Cheek, be sure to reach out to the Holistic AI team to see what the the world’s first 360-degree solution for AI trust, risk, security, and compliance can do for your enterprise.
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