GESIS - Leibniz-Institute for the Social Sciences

Bias in data‐driven artificial intelligence systems—An introductory survey

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju et al.

2020 · 969 Zit.

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

Patrick Hemmer, Sebastian Schellhammer, Michael Vössing et al.

2022 · 25 Zit.

Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data

Celina Kacperski, Roberto Ulloa, Denis Bonnay et al.

2025 · 25 Zit.

Emerging Dynamics of ChatGPT in Academia: A Scoping Review

Mehul Mahrishi, Asad Abbas, Danica Radovanović

2024 · 23 Zit.

Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis

Solanki Gupta, Anurag Kanaujia, Hiran H. Lathabai et al.

2024 · 8 Zit.

Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines

Brian Pickering, Timea Biro, Claire C. Austin et al.

2021 · 7 Zit.

Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment

Leon Fröhling, Alessandro Giaconia, Edyta P. Bogucka et al.

2026 · 1 Zit.

Conditional effects of source expertise and pre-existing attitudes on objective knowledge in AI-assisted health information verification

Jihyeon Oh, Christian Montag, Julian Kohne et al.

2026 · 0 Zit.