Cover Image for Bay Area Monthly AI Safety Meetup - this month w Cloudflare, MLCommons, Feedback Intelligence (sponsored by Holistic AI)
Cover Image for Bay Area Monthly AI Safety Meetup - this month w Cloudflare, MLCommons, Feedback Intelligence (sponsored by Holistic AI)
Avatar for Bay Area AI Safety Meetup
Monthly academic salon discussing all aspects under the critical topic of AI safety.
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Bay Area Monthly AI Safety Meetup - this month w Cloudflare, MLCommons, Feedback Intelligence (sponsored by Holistic AI)

Registration
Past Event
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About Event

June edition of the monthly academic salon discussing all aspects under the critical topic of AI safety.

This month sponsored by Holistic AI (Holistic AI empowers enterprises to adopt and scale AI with transparency, accountability, and safety.)

With role-based dashboards for risk posture management, automated workflows, AI discovery and inventory, the platform empowers enterprises to create, operate, and innovate confidently while ensuring regulatory compliance.

TLDR: Bringing together scholastic exercises with enterprise work in AI, this is a forum to discuss and address the deepest technical and ethical questions around AI safety in use within society. Primarily a social event to discuss current issues, featuring lightning talks while leaving more time for Q&A that could instigate a larger scope for any solutions.

Talks this month given by (see bios below):

  • Jesse Kipp from engineering @ Cloudflare, talk titled "Tools from engineering for AI safety"

  • Dr. Sarah Luger w/ MLCommons (see bio below)

  • Haig Douzdjian, w/ Feedback Intelligence (formerly Manot.ai)

Schedule:

  • 5:30pm - Doors / pizza

  • 6:30pm - Lightning Talks w Q&A (5-10 min)

  • 7:00pm - Discussion

  • 8:30pm - Shutting it down

Bios of this month's speakers:

Dr. Sarah Luger, Co-chair Data Sets Working Group MLCommons and Data Scientist, LLM Safety, Consumer Reports:

Sarah has accumulated over two decades of expertise in Artificial Intelligence and Natural Language Processing, focusing on human communication challenges. Her recent work encompasses low-resource machine translation, online toxicity identification, generative AI for marketing, increasing data annotator diversity, and responsible AI. She holds a Masters and PhD in Informatics (Computer Science) from the University of Edinburgh, specializing in automated question answering. Sarah's background includes significant roles at IBM Watson, particularly in NLP tasks for the Jeopardy! Challenge, as well as leadership positions in engineering and research teams at various startups. Actively engaged in the human computation and AI data benchmarking research communities, she emphasizes the fusion of art and science in creating AI/NLP innovations.

Jesse Kipp, w/ Cloudflare:

Haig Douzdjian, w/ Manot.ai:

Co-Founder @ Manot.ai (Reliable LLMs, Fueled by Feedback). Ex-Head of Product @ Spectral AI (Series B; AI credit scoring), Ex-Product @ Zest AI (Series F; AI credit scoring). Ex-Software Engineer @ Alteryx (Innovation Lab). Angel investor and AI product advisor.

Location
GitHub
88 Colin P Kelly Jr St, San Francisco, CA 94107, USA
Avatar for Bay Area AI Safety Meetup
Monthly academic salon discussing all aspects under the critical topic of AI safety.
111 Going