Deep mutual learning: incentives and trust through collaborative integration of artificial intelligence into sustainability science

2025/01/01 by Johannes Lehmann, Carla Gomes, Matthias C. Rillig +1 · 1 voice
Social Sciences · #Innovation, Sustainability, Human-Machine Systems

paper · pdf · doi:10.1039/d5su00572h

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/28

Abstract

Sustainability science increasingly requires computationally intensive predictive and decision-making tasks across varied temporal and spatial scales.

Citations

• To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts
• Artificial Intelligence & Creativity: A Manifesto for Collaboration

Discussions

• Paper just online: Johannes Lehmann et al. Deep Mutual Learning: incentives and trust through practitioner engagement for integrating artificial intelligence into sustainability science doi.org/10. [bsky, 4 points, 0 comments]

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