Summary contributed by Allison Cohen, a consultant at AI Global. Previously an AI Strategy Consultant at Deloitte. *Authors of original paper
Research summary: AI Governance in 2019, A Year in Review: Observations of 50 Global Experts
Summary contributed by Camylle Lanteigne (@CamLante), who's currently pursuing a Master's in Public Policy at Concordia University and whose work on
Research summary: A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media
Dr. Marianna Ganapini (@MariannaBergama) is an Assistant Professor of Philosophy at Union College. *Authors of original paper & link at the
Research summary: Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Summary contributed by Camylle Lanteigne (@CamLante), who's currently pursuing a Master's in Public Policy at Concordia University and whose work on
Research summary: SoK: Security and Privacy in Machine Learning
Summary contributed by Victoria Heath (@victoria_heath7), Communications Manager at Creative Commons *Authors of full paper & link at the
Research summary: Evasion Attacks Against Machine Learning at Test Time
Summary contributed by Erick Galinkin (@ErickGalinkin), Principal AI Researcher at Rapid7 (Authors of full paper & link at the
Research summary: Warning Signs: The Future of Privacy and Security in the Age of Machine Learning
Summary contributed by Victoria Heath (@victoria_heath7), Communications Manager at Creative Commons Authors of full paper: Sophie
Research summary: Troubling Trends in Machine Learning Scholarship
Mini summary (scroll down for full summary): With the explosion of people working in the domain of ML and the prevalence of the use of preprint
Research summary: Social Biases in NLP Models as Barriers for Persons with Disabilities
Mini summary (scroll down for full summary): When studying for biases in NLP models, there is not enough of a focus on the impacts that phrases
Research summary: Learning to Diversify from Human Judgments – Research Directions and Open Challenges
Mini summary (scroll down for full summary): Current algorithmic techniques frame the notion of diversity in the sense of using the presence of
Research summary: Adversarial Machine Learning – Industry Perspectives
Mini summary (scroll down for full summary): An emerging area of concern for companies that are seeing heavy deployments of ML systems in the
Research summary: Politics of Adversarial Machine Learning
Mini summary (scroll down for full summary): A very timely paper that in the post-ClearviewAI world brings forth some important issues about how