In the AI race, tech companies are seeking to self-regulate but will that be enough given that many harms are unknown? Tech companies have built LLMs on data sets without consent, as well as allowed inaccurate and biased information to be given vs. priotizing safety and accuracy, so can they be trusted? What guardrails and oversight are needed? Are LLM models stochastic parrots or capable of logical leaps? What can AI be good for beneficially and what harms are unavoidable?
The National Institute for Mentoring Business Leaders & Entrepreneurs (NIMBLE) AI Symposium will define how LLM models work, explore the impact on business and debate the urgent questions to ask to protect the privacy and freedoms of humans.
Speakers include:
Ron Bodkin, Founder + CEO of ChainML, former Technical Director for Applied AI at Google
Alejandra Corbella Obregon, Co-Founder, Crypto Babes
Mariette Wharton, Founder + CEO of NIMBLE and Change Agent Partners
Paul Kramer, Founder + CEO of YIP
AI Symposium: Workshop, Ethics Panel Discussion + Mixer
Generative Artificial Intelligence has been called the defining tech of our time. Former Google CEO Eric Schmidt has described the pace of AI change as "something we have never seen happen so fast in 50 years"