There will always be a certain level of risk associated with building AI models, but it is the responsibility of the creators to minimize those risks and ensure sustainable development. Today, we are joined by Meeri Haataja, the Founder of AI governance platform Saidot, to discuss all things responsible AI-building and risk mitigation.
<iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless src="https://player.simplecast.com/a139ec3b-1668-4873-b99f-a3c332ba6d07?dark=true"></iframe>
In this episode, you’ll hear about Meeri's incredible career, insights from the recent AI Pact conference she attended, her company's involvement, and how we can articulate the reality of holding companies accountable to AI governance practices. We discuss how to know if you have an AI problem, what makes third-party generative AI more risky, and so much more! Meeri even shares how she thinks the Use AI Act will impact AI companies and what companies can do to take stock of their risk factors and ensure that they are building responsibly. You don’t want to miss this one, so be sure to tune in now!
Key Points From This Episode:
“It’s best to work with companies who know that they already have a problem.” — @meerihaataja [0:09:58]
“Third-party risks are way bigger in the context of [generative AI].” — @meerihaataja [0:14:22]
“Use and use-context-related risks are the major source of risks.” — @meerihaataja [0:17:56]
“Risk is fine if it’s on an acceptable level. That’s what governance seeks to do.” — @meerihaataja [0:21:17]
Links Mentioned in Today’s Episode:
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
