ChatGPT and foundation models: the need, the infrastructure and privacy

Join us for an event on ChatGPT and foundation models, exploring infrastructure and regulatory landscapes from US and EU perspectives. Our expert panel from Nvidia, Stanford, AI Sweden, and more, will discuss the role of privacy in their development, how they're used across industries, and how regulations impact their use.

We are thrilled to invite you to this event focused on ChatGPT and foundation models and the need, the infrastructure, and regulatory landscapes for such models, from a US and EU perspective. This event is designed to provide insights from our expert panel into natural language processing and artificial intelligence from a technical and regulatory context.

Join us for a panel discussion featuring experts in the field of AI, large language models, and privacy regulation, as we explore the need for foundation models like ChatGPT, their infrastructure requirements, and the critical role privacy plays in their development and implementation from both EU and US perspectives. Our panelists will provide valuable insights into how foundation models are being used across industries in both regions, and the infrastructure needed to support these models, as well as how access to such infrastructure for research can be secured. They will also discuss how privacy regulations are impacting the development and use of these models in the EU and US, and the importance of striking a balance between innovation and protecting individual privacy rights.

The event will take place on June 1 and, in true Silicon Vikings spirit bridge from Silicon Valley to the Nordics, and will be possible to join:

  • as an in person event in Gothenburg (Sweden) at Techno Creatives, Kämpegatan 10, 5th floor (by signing up here), in
  • as an in person event in Palo Alto (CA), at Nordic Innovation House, 470 Ramona st Palo Alto (register via this link) as well as,
  • online via Zoom (register via this link).

We look forward to having you join us for what promises to be an informative and interesting discussion. There will be light food and drinks served at the in person events. Feel free to reach out if you have any questions.

We hope to see you there!

Best regards,

The Silicon Vikings team in collaboration with The Techno Creatives, Nvidia, Nordic Innovation House - Silicon Valley, and iHUBS Sweden.

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Your contact details may be shared with co-organizing organisations.

The panel:

Jennifer King, Privacy and Data Policy Fellow, Stanford HAI

Dr. Jennifer King is the Privacy and Data Policy Fellow at the Stanford University Institute for Human-Centered Artificial Intelligence. An information scientist by training, Dr. King is a recognized expert and scholar in information privacy. Sitting at the intersection of human-computer interaction, law, and the social sciences, her research examines the public’s understanding and expectations of online privacy as well as the policy implications of emerging technologies. Most recently, her research explored alternatives to notice and consent (with the World Economic Forum), the impact of California’s new privacy laws, and dark patterns. Her past work includes projects focusing on social media, genetic privacy, mobile application platforms, the Internet of Things (IoT), and digital surveillance. Her scholarship has been recognized for its impact on policymaking by the Future of Privacy Forum, and she has been an invited speaker before the Federal Trade Commission at several Commission workshops. She has been featured in numerous publications and outlets, including The New York Times, the Washington Post, the Los Angeles Times, Wired, Recode, National Public Radio, CNBC, Bloomberg, CNET, Vox, Consumer Reports, NBC News, MIT Technology Review, among others.

Dr. King completed her doctorate in Information Management and Systems at the University of California, Berkeley School of Information. Prior to joining HAI, Dr. King was the Director of Consumer Privacy at the Center for Internet and Society at Stanford Law school from 2018 to 2020. Before coming to Stanford, she was a co-director of the Center for Technology, Society, and Policy, a graduate student led research center at UC Berkeley, and was a privacy researcher at the Samuelson Law, Technology, and Public Policy Clinic at Berkeley Law. She was a member of the California State Advisory Board on Mobile Privacy Policies and the California State RFID Advisory Board. She received her Master’s in Information Management and Systems also from the University of California, Berkeley’s School of Information, and her undergraduate degree in Political Science and Sociology from the University of California, Irvine. Prior to entering academia she worked in security and in product management for several Internet companies, most notably Yahoo!.

Stine Mangor Tornmark, CEO and Co-founder, Openli

Stine is the CEO and Co-founder of Openli (a privacy tech company). Privacy and protecting data is important and with AI and the increasing need for data, it's becoming even more important in the future. Why? Because companies build and operate their entire business through software, tools and in the cloud. So they need to be on top of their own and all their vendors' GDPR & privacy efforts. That's what Openli helps with: helping companies comply with the GDPR and scale their privacy efforts.

Stine has a law degree and has been working as an attorney for 6 years in Denmark advising fortune top 500 companies about privacy & tech. After that, she built a legal & compliance team from 1 to 40+ people at Trustpilot and founded Openli that today helps companies with privacy & GDPR. She has been advising the Danish Government (Digitaliseringspartnerskabet), OECD and other organizations on digitalisation, digital trust and privacy.

Magnus Sahlgren, Head of Research, NLU, PhD, AI Sweden

Magnus Sahlgren is Head of Research for Natural Language Understanding at AI Sweden. Sahlgren has a PhD in computational linguistics, and his research lies at the intersection between computational linguistics, philosophy, and artificial intelligence. He is primarily known for his work on computational models of meaning, and he is currently leading the initiative to train large language models for the Nordic languages. Sahlgren has previously held positions at the Research Institutes of Sweden (RISE), the Swedish Defense Research Agency (FOI), the Swedish Institute of Computer Science (SICS), Stockholm university, and he is the co-founder of the language technology company Gavagai AB.

Alexander Young, Technical Marketing Engineer, Nvidia

Alexander Young has spent 25+ years in the IT industry working for Sun Microsystems, Oracle, Ericsson, Microsoft and NVIDIA. He is currently a Technical Marketing Engineer at NVIDIA, in the Metropolis product development team, where he supports customers and partners using NVIDIA AI models, frameworks & infrastructure.

Moderator: Ebba Josefson Lindqvist

Ebba is Director of Nordic Nodes at Silicon Vikings and Project Manager of the Data Factory at AI Sweden.


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