13 citations · 16 across the 5 of their papers we have counts for
5 papers
Anticipatory Human Oversight of Agentic AI: A Philosophical Account
Kevin Baum, Maximilian Kiener, Markus Langer +1
Human oversight is widely held to mitigate the risks of AI systems. Even for systems that produce discrete outputs at identifiable decision points, the realisation of human oversig…
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
Susanne Gaube, Markus Langer, Tim Miller +17
The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human…
Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems
Kevin Baum, Johann Laux
As AI systems permeate high-stakes decision-making, the terminology of human involvement---Human-in-the-Loop (HITL), Human-on-the-Loop (HOTL), and Human Oversight---has become vexi…
Automation Bias in the AI Act: On the Legal Implications of Attempting to De-Bias Human Oversight of AI
Johann Laux, Hannah Ruschemeier
This paper examines the legal implications of the explicit mentioning of automation bias (AB) in the Artificial Intelligence Act (AIA). The AIA mandates human oversight for high-ri…
Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy
Johann Laux, Fabian Stephany, Alice Liefgreen
The global surge in AI applications is transforming industries, leading to displacement and complementation of existing jobs, while also giving rise to new employment opportunities…