Subject archive for "responsible-ai"

True reproducibility means anyone can return to a point in time — anywhere in the AI/ML lifecycle — and see how a model was built and understand its purpose and KPIs. Yet, most AI models are built outside of controlled environments and systems of record. Enterprise AI platforms like Domino solve this by automatically unifying and capturing all model provenance and all artifacts across teams, users, tools, and environments without manual detective work, which can produce mixed results.

Domino's Kjell Carlsson and guest speaker Forrester Research's visionary VP and Principal Analyst, Mike Gaultieri are here to help you answer these pressing issues. You can watch their insightful conversation on our upcoming webinar, "An expert's guide to surviving and thriving as an AI leader in a GenAI world."

The best hands-on learning experience for data science and IT leaders is a one-day free event called RevX. Reaching multiple cities, RevX will be headed your way, so you can discuss top-of-mind, vertical-specific topics related to AI and GenAI, and walk away with new, and thought-provoking strategies for implementation.

Domino Data Lab has joined more than 200 of the nation’s leading artificial intelligence (AI) stakeholders to participate in a Department of Commerce initiative to support the development and deployment of trustworthy and safe AI.

OpenAI’s board appears to have fatally stabbed the organization. Whether or not Sam Altman did or did not deserve to be let go, the organization will never be the same in the eyes of its customers, employees, investors and society at large. The unfolding debacle reveals the dangers of heavily relying on individual AI partners and the limits of outsourcing AI capabilities generally.

Discover powerful new capabilities for building AI, including Generative AI (GenAI), rapidly and safely at scale.