UC Berkeley AI Policy Research Symposium 2024
On April 26, 2024, the UC Berkeley AI Policy Hub presented the second-annual AI Policy Research Symposium, a showcase of cutting-edge AI research from across the UC Berkeley…
On April 26, 2024, the UC Berkeley AI Policy Hub presented the second-annual AI Policy Research Symposium, a showcase of cutting-edge AI research from across the UC Berkeley…
This piece was authored and published by the UC Berkeley School of Information. The original article can be found on their website. On March 7, the Goldman School…
On Wednesday, March 6, the UC Berkeley Center for Long-Term Cybersecurity (CLTC) and CNA’s Institute for Public Research hosted a session at the 28th annual RSA Conference (RSAC),…
The Center for Long-Term Cybersecurity has issued a new report that presents a novel framework for navigating the complex landscape of artificial intelligence (AI) security. The report, “Toward…
On April 5, 2022, CLTC hosted a presentation by Anni Hellman, a Deputy Head of Unit at the European Commission who is currently an EU Fellow at UC…
Regulators and product makers need to do more to protect consumer data in the Internet of Things (IoT), as the rapid proliferation of web-connected devices is leading to the potentially irreversible erosion of our personal privacy. That is among the key findings of a new research report, Privacy and the Internet of Things: Emerging Frameworks for Policy and Design, published by the UC Berkeley Center for Long-Term Cybersecurity in partnership with researchers from the Internet of Things Privacy Forum.
The Center for Long-Term Cybersecurity has issued a new report that presents a novel framework for navigating the complex landscape of artificial intelligence (AI) security. The report, “Toward…
Throughout 2025, CLTC will be celebrating our 10th anniversary by celebrating some of our successful programs. In this post, we look at Cybersecurity Futures, a series of scenarios-based…
Abstract The proliferation of automated decision-making systems has yielded much commercial success, but the potential of such systems to systematically generate biased decisions threatens to exacerbate the vulnerability…