Scholarship Reporter
This regular newsletter highlights recent privacy research and is posted on our web site for easy ongoing access. Each issue of the Privacy Scholarship Reporter focuses on one of three research priorities identified in the National Privacy Research Strategy: increasing transparency of data collection, sharing, use, and retention; assuring that information flows and use are consistent with privacy rules; and advancing progress on practical de-identification techniques and policy and reducing privacy risks of analytical algorithms.
Issue 4: GDPR In Focus
The General Data Protection Regulation (Regulation (EU) 2016/679) (‘GDPR’) aims to guarantee strong protections for individuals regarding their personal data and apply to businesses that collect, use, or share consumer data, whether the information was obtained online or offline. The GDPR went into effect on May 25, 2018 and is one of the most comprehensive […]
There are 6 articles in this issue.
- Data Portability and Data Control: Lessons for an Emerging Concept in EU Law
- GDPR and the Internet of Things: Guidelines to Protect Users’ Identity and Privacy
- Meaningful Information and the Right to Explanation
- Pre-Formulated Declarations of Data Subject Consent – Citizen-Consumer Empowerment and the Alignment of Data, Consumer and Competition Law Protections
- The Importance of Privacy by Design and Data Protection Impact Assessments in Strengthening Protection of Children’s Personal Data Under the GDPR
- Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation
Issue 3: 2017 Privacy Papers for Policymakers Award Winners
On December 12, 2017, FPF announced the winners of our 8th Annual Privacy Papers for Policymakers (PPPM) Award. This Award recognizes leading privacy scholarship that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data protection authorities abroad. In this special issue of the Scholarship Reporter, you will find this […]
There are 6 articles in this issue.
Issue 2: Artificial Intelligence and Machine Learning: The Privacy Challenge
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 than to explicitly […]
There are 8 articles in this issue.
- Big Data, Artificial Intelligence, Machine Learning and Data Protection
- Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI
- Averting Robot Eyes
- Ethically Aligned Design
- Law and Regulation of Artificial Intelligence and Robots: Conceptual Framework and Normative Implications
- Machine Learning: The Power and Promise of Computers That Learn by Example
- Rethinking the Fourth Amendment in the Age of Supercomputers, Artificial Intelligence, and Robots
- Equality of Opportunity in Supervised Learning
Issue 1: Algorithms: Privacy Risk and Accountability
Through academic, policy, and industry circles, making progress on the cluster of issues related to algorithmic accountability has become a leading priority. The inaugural issue of the Future of Privacy Forum’s Privacy Scholarship Reporter provides a clear and compelling look into some of the most worrisome problems and promising solutions.
There are 9 articles in this issue.
- The Ethics of Algorithms: Mapping the Debate
- Accountability for the Use of Algorithms in a Big Data Environment
- Accountable Algorithms
- Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
- Data-Driven Discrimination at Work
- Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
- Tackling the Algorithmic Control Crisis – the Technical, Legal, and Ethical Challenges of Research into Algorithmic Agents
- Why a Right to Explanation of Automated Decision Making Does Not Exist in the General Data Protection Regulation
- Exposure Diversity as a Design Principle for Recommender Systems