AI and Machine Learning: Educational Resources
Content Areas Interactive Explanations and Courses News, Reports, and Other Media International Resources Books Interactive Explanations and Courses Google Machine Learning 101 – A comprehensive overview of AI and machine learning with numerous resources for additional research. Intro to Machine Learning – A detailed, video-based, interactive course into ML concepts. Prerequisites include strong algebra skills […]
The Top 10: Student Privacy News (Feb – July 2018)
The Future of Privacy Forum tracks student privacy news very closely, and shares relevant news stories with our newsletter subscribers.* Approximately every month, we post “The Top 10,” a blog with our top student privacy stories.
FPF Testifies Before Federal Commission on School Safety
John Verdi, the Future of Privacy Forum’s Vice President of Policy, testified today before the Federal Commission on Student Safety meeting, “Curating a Healthier & Safer Approach: Issues of Mental Health and Counseling for Our Young.”
Ensuring School Safety While Also Protecting Privacy: FPF Testimony Before the Federal Commission on School Safety
Amelia Vance, FPF’s Director of Education Privacy, spoke today at the Federal Commission on Student Safety’s Listening Session. She asked that any Commission recommendations include the need for privacy “guardrails” around school safety measures to ensure that student privacy and equity are protected.
Code of Conduct / Anti-harassment Policy
In recognition of FPF’s dedication to providing a respectful and professional conference, forum, email listserves, and community experience for everyone regardless of gender, sexual orientation, disability, physical appearance, body size, race, religion, or political affiliation, FPF does not tolerate harassment of participants in any form. Participants or others involved in activities who violate this anti-harassment […]
Facebook and Cambridge Analytica: Statement by Jules Polonetsky, FPF CEO
We are pleased to see Facebook’s response, but are looking forward to understanding how to best address the broader issues for all stakeholders. These issues are important to discuss – they are not going away.
Taming The Golem: Challenges of Ethical Algorithmic Decision-Making
This article examines the potential for bias and discrimination in automated algorithmic decision-making. As a group of commentators recently asserted, “[t]he accountability mechanisms and legal standards that govern such decision processes have not kept pace with technology.” Yet this article rejects an approach that depicts every algorithmic process as a “black box” that is inevitably plagued by bias and potential injustice.
FPF Welcomes New Senior Fellow
FPF is pleased to welcome Stanley W. Crosley as a senior fellow. Stanley has over 20 years of applied experience in law, data governance and data strategy across a broad sector of the economy, including from inside multinational corporations, academia, large law firm and boutique practices, not-for-profit advocacy organizations, and governmental agencies, and is the Co-Director of the Indiana University Center for Law, Ethics, and Applied Research in Health Information (CLEAR), is Counsel to the law firm of Drinker Biddle & Reath in Washington, DC, and Principal of Crosley Law Offices, LLC. Stan is a Senior Strategist at the Information Accountability Foundation and a Senior Fellow at the Future of Privacy Forum, where he leads health policy efforts.
Seeing the Big Picture on Smart TVs and Smart Home Tech
CES 2018 brought to light many exciting advancements in consumer technologies. Without a doubt, Smart TVs, Smart Homes, and voice assistants were dominant: LG has a TV that rolls up like a poster; Philips introduced a Google Assistant-enabled TV is designed for the kitchen; and Samsung revealed its new line of refrigerators, TVs, and other home devices powered by Bixby, their intelligent voice assistant.
If You Can't Take the Heat Map: Benefits & Risks of Releasing Location Datasets
Strava’s location data controversy demonstrates the unique challenges of publicly releasing location datasets (open data), even when the data is aggregated.