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:
- Insights from the AI Pact conference.
- The reality of holding AI companies accountable.
- What inspired her to start Saidot to offer solutions for AI transparency and accountability.
- How Meeri assesses companies and their organizational culture.
- What makes generative AI more risky than other forms of machine learning.
- Reasons that use-related risks are the most common sources of AI risks.
- Meeri’s thoughts on the impact of the Use AI Act in the EU.
Quotes:
“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: