Summary contributed by Connor Wright, who's a 3rd year Philosophy student at the University of Exeter. Link to original source + author at the bottom. Mini-summary: With the world being increasingly governed … [Read more...] about Research summary: What does it mean for ML to be trustworthy?
Research summary: Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Summary contributed by Alexandrine Royer, administrative coordinator at The Foundation for Genocide Education. *Authors of full paper & link at the bottom Mini-summary: Although it may not always seem … [Read more...] about Research summary: Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Research summary: Legal Risks of Adversarial Machine Learning Research
Summary contributed by Sundar Narayanan, Director at Nexdigm and ethics & compliance professional. *Authors of full paper & link at the bottom Mini-summary: Adversarial attacks have existed … [Read more...] about Research summary: Legal Risks of Adversarial Machine Learning Research
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
Get the paper in PDF formDownload Authors: Abhishek Gupta, Erick Galinkin Abstract Security and ethics are both core to ensuring that a machine learning system can be trusted. In production machine learning, … [Read more...] about Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
SECure: A Social and Environmental Certificate for AI Systems
Get the paper in PDF formDownload Abstract In a world increasingly dominated by AI applications, an understudied aspect is the carbon and social footprint of these power-hungry algorithms that require copious … [Read more...] about SECure: A Social and Environmental Certificate for AI Systems