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Full-Text Articles in Law
Understanding Chilling Effects, Jonathon Penney
Understanding Chilling Effects, Jonathon Penney
Articles, Book Chapters, & Popular Press
With digital surveillance and censorship on the rise, the amount of data available online unprecedented, and corporate and governmental actors increasingly employing emerging technologies like artificial intelligence (AI), machine learning, and facial recognition technology (FRT) for surveillance and data analytics, concerns about “chilling effects”, that is, the capacity for these activities “chill” or deter people from exercising their rights and freedoms have taken on greater urgency and importance. Yet, there remains a clear dearth in systematic theoretical and empirical work point. This has left significant gaps in understanding. This article has attempted to fill that void, synthesizing theoretical and empirical …
Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert
Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert
Articles, Book Chapters, & Popular Press
Adversarial machine learning is the systematic study of how motivated adversaries can compromise the confidentiality, integrity, and availability of machine learning (ML) systems through targeted or blanket attacks. The problem of attacking ML systems is so prevalent that CERT, the federally funded research and development center tasked with studying attacks, issued a broad vulnerability note on how most ML classifiers are vulnerable to adversarial manipulation. Google, IBM, Facebook, and Microsoft have committed to investing in securing machine learning systems. The US and EU are likewise putting security and safety of AI systems as a top priority.
Now, research on adversarial …
Privacy And Legal Automation: The Dmca As A Case Study, Jonathon Penney
Privacy And Legal Automation: The Dmca As A Case Study, Jonathon Penney
Articles, Book Chapters, & Popular Press
Advances in artificial intelligence, machine learning, computing capacity, and big data analytics are creating exciting new possibilities for legal automation. At the same time, these changes pose serious risks for civil liberties and other societal interests. Yet, existing scholarship is narrow, leaving uncertainty on a range of issues, including a glaring lack of systematic empirical work as to how legal automation may impact people’s privacy and freedom. This article addresses this gap with an original empirical analysis of the Digital Millennium Copyright Act (DMCA), which today sits at the forefront of algorithmic law due to its automated enforcement of copyright …
Can Cyber Harassment Laws Encourage Online Speech?, Jonathon Penney
Can Cyber Harassment Laws Encourage Online Speech?, Jonathon Penney
Articles, Book Chapters, & Popular Press
Do laws criminalizing online harassment and cyberbullying "chill" online speech? Critics often argue that they do. However, this article discusses findings from a new empirical legal study that suggests, counter-intuitively, that while such legal interventions likely have some dampening effect, they may also facilitate and encourage more speech, expression, and sharing by those who are most often the targets of online harassment: women. Relevant findings on this point from this first-of-its-kind study are set out and discussed along with their implications.