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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Knowledge is Power: The Future of Privacy Forum launches FPF Training Program
“An investment in knowledge always pays the best interest”–Ben Franklin Let’s make 2023 the year we invest in ourselves, our teams, and the knowledge needed to best navigate this dynamic world of privacy and data protection. I am fortunate to know many of you who will read this blog post, but for those who I […]
Five Things Lawyers Need to Know About AI
Lawyers are trained to respond to risks that threaten the market position or operating capital of their clients. However, when it comes to AI, it can be difficult for lawyers to provide the best guidance without some basic technical knowledge. This article shares some key insights from our shared experiences to help lawyers feel more at ease responding to AI questions when they arise.
Brain-Computer Interfaces: Privacy and Ethical Considerations for the Connected Mind
BCIs are computer-based systems that directly record, process, analyze, or modulate human brain activity in the form of neurodata that is then translated into an output command from human to machine. Neurodata is data generated by the nervous system, composed of the electrical activities between neurons or proxies of this activity. When neurodata is linked, or reasonably linkable, to an individual, it is personal neurodata.
Now, On the Internet, EVERYONE Knows You’re a Dog
Digital identity systems vary in complexity. At its most basic, a digital ID would simply recreate a physical ID in a digital format, whereasa fully integrated digital identity system would provide a platform for a complete wallet and verification process, usable both online and in the physical world.
Five Top of Mind Data Protection Recommendations for Brain-Computer Interfaces
By Jeremy Greenberg, [email protected] and Katelyn Ringrose [email protected]. Key FPF-curated background resources – policy & regulatory documents, academic papers, and technical analyses regarding brain-computer interfaces are available here. Recently, Elon Musk livestreamed an update for Neuralink—his startup centered around creating brain-computer interfaces (BCIs). BCIs are an umbrella term for devices that detect, amplify, and translate […]
FPF Director of AI & Ethics Testifies Before Congress on Facial Recognition
FPF’s Brenda Leong calls on policymakers to balance privacy and ethical risks, and establish “opt-in” consent standard to protect consumer privacy.
FPF Letter to NY State Legislature
On Friday, June 14, FPF submitted a letter to the New York State Assembly and Senate supporting a well-crafted moratorium on facial recognition systems for security uses in public schools.
Artificial Intelligence: Privacy Promise or Peril?
Understanding AI and its underlying algorithmic processes presents new challenges for privacy officers and others responsible for data governance in companies ranging from retailers to cloud service providers. In the absence of targeted legal or regulatory obligations, AI poses new ethical and practical challenges for companies that strive to maximize consumer benefits while preventing potential harms.
AI and Machine Learning: Perspectives with FPF’s Brenda Leong
As we prepare to toast our 10th anniversary, we’re hearing from FPF policy experts about important privacy issues. Today, Brenda Leong, FPF Senior Counsel and Director of Strategy, is sharing her perspective on AI and machine learning. Brenda also manages the FPF portfolio on biometrics, particularly facial recognition, and oversees strategic planning for the organization.Tell […]
Calls for Regulation on Facial Recognition Technology
We look forward to working with Microsoft, others in industry, and policymakers to “create policies, processes, and tools” to make responsible use of Facial Recognition technology a reality.