February 16, 2024
A regulatory focus on public law leaves out the bulk of algorithmic decision-making that we encounter in sectors such as finance, private healthcare, insurance, entertainment, and a host of other services. However, the features of administrative law which render it suitable for public sector use of AI could also be extended meaningfully to private sector uses.
February 8, 2024
The use of algorithmic systems for public use comes with this own set of transparency expectations. The history of administrative decisions offers a rich body which can clearly inform the threshold of transparency for these decisions and how to apply them.
February 2, 2024
Public administration, with its complex machinery and delegation of decision-making is uniquely suited as an analogy to algorithmic systems. The domain, administrative law, which governs it, thus offers useful lessons for the transparency of AI systems.
Over several decades, while transparency has emerged as a dominant principle, its instrumental value to foster accountability is often not achieved. The use of machine learning further complicates the delivery of algorithmic transparency, and highlights the need to create conceptual models of AI.
October 28, 2022
The EU’s AI Act demands multiple versions of transparency from AI systems. It requires sufficient transparency and human supervision from high-risk AI without defining what they mean. This policy proposal points to a model that can solve this problem.
October 28, 2022