Law Commons^™

Moving On From The Ombuds Model For Data Protection In Canada, Teresa Scassa

Canadian Journal of Law and Technology

Both the Personal Information Protection and Electronic Documents Act (PIPEDA) and the Privacy Act adopt an ombuds model when it comes to addressing complaints by members of the public. This model is also present in other data protection laws, including public sector data protection laws at the provincial level, as well as personal health information protection legislation. The focus of this short paper is the model adopted in PIPEDA and its ongoing suitability. PIPEDA was designed to apply across the full range of private sector actors and is increasingly under strain in the big data society. These factors may make …

Hardware, Heartware, Or Nightmare: Smart-City Technology And The Concomitant Erosion Of Privacy, Leila Lawlor

Scholarly Articles

Smart-city technology is being adopted in cities all around the world to simplify our lives, save us time, ease traffic, improve education, reduce energy usage, and keep us healthy and safe. Its adoption is necessary because of changes that are predicted for urban dwellers over the next three decades; urban population and travel are predicted to increase dramatically and our population is graying, meaning the population will include a much greater number of elderly citizens. As these changes occur, smart-city technology can have a huge impact on public safety, improving the ability of law enforcement to investigate crimes, both with …

Fintech And The Innovation Trilemma, Yesha Yadav, Chris Brummer

Vanderbilt Law School Faculty Publications

Whether in response to roboadvising, artificial intelligence, or crypto-currencies like Bitcoin, regulators around the world have made it a top policy priority to supervise the exponential growth of financial technology (or "fintech") in the post-Crisis era. However, applying traditional regulatory strategies to new technological ecosystems has proven conceptually difficult. Part of the challenge lies in the tradeoffs involved in regulating innovations that could conceivably both help and hurt consumers and market participants alike. Problems also arise from the common assumption that today's fintech is a mere continuation of the story of innovation that has shaped finance for centuries.

This Article …

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

Automation And Predictive Analytics In Patent Prosecution: Uspto Implications And Policy, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor-examiner interaction to machine-human interactions. In response to automated patent drafting, automated office-action responses, "cloems" (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor-examiner relationship as a "patenting market," economic principles suggest stronger efficiencies if both inventors and the USPTO have better information …