How do you solve the problem of trust? Confidence is a prerequisite for large-scale adoption.
With the deluge of speculation about Generative AI, organizations everywhere are establishing regulations and certifications to solve for fidelity, trust, and assurance. We're also seeing substantial debate regarding the viability of such efforts at this stage in the adoption of AI-empowered capabilities.
Guest Emre Kazim is the co-Founder and co-CEO of Holistic AI, a hot startup empowering organizations to adopt and scale AI with confidence - which at its core, is solving the problem of trust. Emre shares an overview of the current ecosystems within and across the AI landscape - policy, industry, and society... federal, state, and local levels of activity. The path to AI governance is heating up and challenges us to answer the difficult questions - who will be the ultimate arbiter of trust and what are those entities' self-interests; what trade-offs are made and tolerated within AI-enabled systems of trust; what gaps exist between AI-powered capabilities, regulations, and policy... As you might suspect, the proximity of policy-making to the development of the capabilities they govern is key. Controlling the harm depends upon understanding the specific use case, the context of use, and the underlying layers of operability and interoperability - enabling a more precise assessment of the corresponding risk. Steady experimentation in practical, tangible use cases are the path forward enabling the real shift possible with AI.
At the core - trust comes from confidence, and confidence comes from using these systems over time. Good governance will come from the same ecosystem that innovated these capabilities.
Guest:
Emre Kazim, Co-Founder & Co-CEO, Holistic AI
Co-Hosts:
James Villarrubia, White House Presidential Innovation Fellow & Digital Strategist for CAS, NASA G. Edward Powell, PhD, CEO, TensorX, Inc
Series Hosts:
Vikram Shyam, Lead Futurist, NASA Glenn Research Center Dyan Finkhousen, Founder & CEO, Shoshin Works