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The Risks of Machine Learning Systems
We explore how different risks may manifest in various types of ML systems, the factors that affect each risk, and how first-order risks may lead to second-order effects when the system interacts with the real world.
Reliability Testing for Natural Language Processing Systems
Questions of fairness, robustness, and transparency are paramount to address before deploying NLP systems.
Regulating human control over autonomous systems
The operationalization of emerging policies of human control results in the typology of direct and indirect human controls exercised over the use of AS.
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities
We discuss steps taken to address these issues, highlight the existing research gaps and the need to mitigate these issues through the design of AV's algorithms and of policies and regulations to fully realise AVs' benefits for smart and sustainable cities.
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Our analyses reveal that, thus far, governments have in most instances avoided stringent measures in order to promote AV developments and the majority of responses are non-binding and focus on creating councils or working groups to better explore AV implications.
