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Dispute Settlement Under The African Continental Free Trade Area Agreement: A Preliminary Assessment, Olabisi D. Akinkugbe Nov 2020

Dispute Settlement Under The African Continental Free Trade Area Agreement: A Preliminary Assessment, Olabisi D. Akinkugbe

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The African Continental Free Trade Area Agreement (AfCFTA) will add a new dispute settlement system to the plethora of judicial mechanisms designed to resolve trade disputes in Africa. Against the discontent of Member States and limited impact the existing highly legalized trade dispute settlement mechanisms have had on regional economic integration in Africa, this paper undertakes a preliminary assessment of the AfCFTA Dispute Settlement Mechanism (DSM). In particular, the paper situates the AfCFTA-DSM in the overall discontent and unsupportive practices of African States with highly legalized dispute settlement systems and similar WTO-Styled DSMs among other shortcomings. Notwithstanding the transplantation of …


Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert Jan 2020

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 …