https://venturebeat.com/ai/hugging-face-ceo-tells-us-house-open-source-ai-is-extremely-aligned-with-american-interests/ Skip to main content Events Video Special Issues Jobs Subscribe * Artificial Intelligence + View All + AI, ML and Deep Learning + Auto ML + Data Labelling + Synthetic Data + Conversational AI + NLP + Text-to-Speech * Security + View All + Data Security and Privacy + Network Security and Privacy + Software Security + Computer Hardware Security + Cloud and Data Storage Security * Data Infrastructure + View All + Data Science + Data Management + Data Storage and Cloud + Big Data and Analytics + Data Networks * Automation + View All + Industrial Automation + Business Process Automation + Development Automation + Robotic Process Automation + Test Automation * Enterprise Analytics + View All + Business Intelligence + Disaster Recovery Business Continuity + Statistical Analysis + Predictive Analysis * More + Data Decision Makers + Virtual Communication o Team Collaboration o UCaaS o Virtual Reality Collaboration o Virtual Employee Experience + Programming & Development o Product Development o Application Development o Test Management o Development Languages [ ] Subscribe Events Video Special Issues Jobs Hugging Face CEO tells US House open-source AI is 'extremely aligned' with American interests Sharon Goldman@sharongoldman June 22, 2023 8:15 AM * * * Hugging Face CEO Clement Delangue testifies before Congress in June 2023. Credit: CSPAN Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More --------------------------------------------------------------------- Hugging Face CEO Clement Delangue, in testimony to the full U.S. House Science Committee this morning for a hearing on Artificial Intelligence: Advancing Innovation Towards the National Interest, said in his opening statement that open science and open-source AI "are critical to incentivize and are extremely aligned with the American values and interests." Others testifying at the hearing included Jason Matheny, president and CEO of RAND Corporation; Shahin Farshchi, general partner at Lux Capital; Rumman Chowdhury, responsible AI fellow at Harvard University and Dewey Murdick, executive director for Georgetown University's Center for Security and Emerging Technology. Delangue noted that today's AI progress has been powered by open science and open source, and without open-source PyTorch, Tensorflow, Keras, transformers and diffusers, all invented in the U.S., the U.S. "might not be the leading country for AI." Delangue's testimony comes two weeks after Senators sent a letter questioning Mark Zuckerberg over the leak of Meta's popular open-source LLM LLaMA, a letter that expressed concerns about the "potential for [the model's] misuse in spam, fraud, malware, privacy violations, harassment, and other wrongdoing and harms." Event Transform 2023 Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls. Register Now The open dissemination of LLaMA, the letter said, "represents a significant increase in the sophistication of the AI models available to the general public, and raises serious questions about the potential for misuse or abuse." >>Follow VentureBeat's ongoing generative AI coverage<< Hugging Face, a fast-growing New York-based startup that enjoyed a $2 billion valuation last year, has become a hub for open-source code and models and emerged as a leading voice in the open-source AI community. In April, Delangue drew more than 5,000 people to a local meetup celebrating open-source technology at the Exploratorium in downtown San Francisco. In his opening statement, Delangue also said that open science and open source foster tens of thousands of startups building with AI. "Thanks to ethical openness, [they create] a safer path for development of the technology by giving civil society, nonprofits, academia and policymakers the capabilities they need to counterbalance the power of big private companies," he said. "Open science and open source prevent black-box systems, make companies more accountable and help [solve] today's challenges like mitigating biases, reducing misinformation, promoting copyrights and rewarding all stakeholders including artists and content creators in the value creation process." He added that Hugging Face's approach to ethical openness "combines institutional policies, such as documentation with model cards, pioneered by our own Dr. Margaret Mitchell; technical safeguards, such as gating access to artifacts and staged releases; and community incentives like moderation and opt-in and opt-out datasets." Hugging Face's comments are part and parcel of the current red-hot debate around open-source AI, which has been having a "moment" over the past few months -- following a wave of recent large language model (LLM) releases and an effort by startups, collectives and academics to push back on the shift in AI to closed, proprietary LLMs. >>Don't miss our special issue: Building the foundation for customer data quality.<< VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings. Join enterprise leaders in San Francisco Learn to leverage the power of Generative AI Learn More * * * * * * Press Releases * Contact Us * Advertise * Share a News Tip * Contribute to DataDecisionMakers * Careers * Privacy Policy * Terms of Service * Do Not Sell My Personal Information (c) 2023 VentureBeat. All rights reserved. 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