An AI-based computer system can gather data and use that data to make decisions or solve problems – using algorithms to perform tasks that, if done by a human, would be said to require intelligence. The benefits created by AI and machine learning (ML) systems for better health care, safer transportation, and greater efficiencies across the globe are already happening. But the increased amounts of data and computing power that enable sophisticated AI and ML models raise questions about the privacy impacts, ethical consequences, fairness, and real world harms if the systems are not designed and managed responsibly. FPF works with commercial, academic, and civil society supporters and partners to develop best practices for managing risk in AI and ML and assess whether historical data protection practices such as fairness, accountability, and transparency are sufficient to answer the ethical questions they raise.
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FPF at CPDP LatAm 2022: Artificial Intelligence and Data Protection in Latin America
This summer the first-ever in-person Computers, Privacy and Data Protection Conference – Latin America (CPDP LatAm) took place in Rio de Janeiro on July 12 and 13. The Future of Privacy Forum (FPF) was present at the event, titled Artificial Intelligence and Data Protection in Latin America, participating in two panels and submitting a paper […]
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.
Artificial Intelligence, Machine Learning, and Ethical Applications
On September 25, 2017, the Future of Privacy Forum and the Information Accountability Foundation will co-host an official side event at the International Conference of Data Protection Commissioners. The event follows IAF’s publication of Artificial Intelligence, Ethics and Enhanced Data Stewardship, and FPF’s curation of leading research highlighting the privacy challenges posed by artificial intelligence.
AI Ethics: The Privacy Challenge
The Future of Privacy Forum and the Brussels Privacy Hub of the Vrije Universiteit Brussel (VUB) are partnering with IEEE Security & Privacy in a call for papers focused on AI Ethics: The Privacy Challenge. Selected papers will be featured at The Brussels Privacy Symposium, an academic program jointly presented by the Brussels Privacy Hub of the VUB and FPF’s National Science Foundation supported Research Coordination Network.