Explaining the Crosswalk Between Singapore’s AI Verify Testing Framework and The U.S. NIST AI Risk Management Framework
On October 13, 2023, Singapore’s Infocomm Media Development Authority (IMDA) and the U.S.’s National Institute of Standards and Technology (NIST) published a “Crosswalk” of IMDA’s AI Verify testing framework and NIST’s AI Risk Management Framework (AI RMF). Developed under the aegis of the Singapore–U.S. Partnership for Growth and Innovation, the Crosswalk is a mapping document […]
AI Verify: Singapore’s AI Governance Testing Initiative Explained
In recent months, global interest in AI governance and regulation has expanded dramatically. Many identify a need for new governance and regulatory structures in response to the impressive capabilities of generative AI systems, such as OpenAI’s ChatGPT and DALL-E, Google’s Bard, Stable Diffusion, and more. While much of this attention focuses on the upcoming EU […]
FPF at CPDP 2022: Panels and Side Events
As the annual Computers, Privacy and Data Protection (CPDP) conference took place in Brussels between May 23 and 25, several Future of Privacy Forum (FPF) staff took part in different panels and events organized by FPF or other organizations before and during the conference. In this blogpost, we provide an overview of such events, with […]
“Are crumbles all that remains of the cookies?” A conversation on the future of ad tech at the Nordic Privacy Arena 2021
On September 27 and 28, 2021, the Swedish Data Protection Forum (Forum för Dataskydd) hosted the 2021 edition of the Nordic Privacy Arena (“Operationalising Data Privacy – Challenges, best practices, and success stories”) in Stockholm, Sweden. This hybrid event brought together privacy practitioners, watchdogs, and academics to debate some of the most pressing issues regarding […]
Upcoming data protection rulings in the EU: an overview of CJEU pending cases
There has been a surge in questions posed by national courts to the Court of Justice of the EU (CJEU) in the past year on how various provisions of the General Data Protection Regulation (GDPR) should be interpreted and applied in practice. They vary from understanding essential aspects of the fundamental right to the protection […]
If privacy principles are from Venus, then engineering rules are from Mars
FPF Advisory Board member, Alisa Bergman, Vice President, Chief Privacy Officer at
Adobe Systems, recently wrote an article in the IAPP Tech Privacy Advisor that we think is very useful. The article started from a presentation Bergman did for Adobe engineers.
Privacy Scholarship Reporter – Issue 2
Artificial Intelligence and Machine Learning: The Privacy Challenge by FPF Staff Building on our first issue, which discussed the various privacy challenges related to algorithmic accountability, Future of Privacy Forum’s Privacy Scholarship Reporter now turns its focus to thoughtful, academic considerations of the privacy challenges, and ethical data use considerations, of AI and Machine Learning. […]
Privacy Scholarship Research Reporter: Issue 2, July 2017 – Artificial Intelligence and Machine Learning: The Privacy Challenge
Notes from FPF Building on our first issue, which discussed the various privacy challenges related to algorithmic accountability, Future of Privacy Forum’s Privacy Scholarship Reporter now turns its focus to thoughtful, academic considerations of the privacy challenges, and ethical data use considerations, of AI and Machine Learning. Artificial Intelligence is perhaps easier to intuitively grasp […]
Live Blogging From GridWeek
Round Two: Updates today will be from our smart grid privacy fellow Matt Gruenberg: Session on end user perspectives: do utilities truly understand their customers? Ohio Consumers Counsel J.M. Ostrander only way demand response can work is if consumer understand it Viktor Mayer-Schönberger on forgetting in a digital age http://bit.ly/NfALa Are grid folks thinking about […]