Amar Causevic

Royal Swedish Academy of Sciences

Papers

1

Total Citations

442

H-Index

1

About

Amar Causevic is a leading researcher at the intersection of artificial intelligence, systemic risk, and environmental sustainability. His most-cited work, "Artificial intelligence, systemic risks, and sustainability" (2021, 442 citations), fundamentally reframes how we understand the role of AI in addressing complex ecological challenges. Causevic argues that while AI and predictive analytics—combined with advances in sensor technology and robotics—offer unprecedented opportunities to monitor and respond to climate change, they also introduce new systemic vulnerabilities. His research critically examines how automated decision-making reshapes the perceptions and actions of individuals, communities, governments, and private actors in the face of environmental crises. By highlighting both the promise and the peril of AI-driven environmental governance, Causevic has become a pivotal voice in debates about responsible technology deployment. His work is essential reading for scholars and practitioners seeking to harness AI for sustainability without exacerbating existing risks.

Research Focus

Key Achievements

1
H-Index
1
Papers
442
Total Citations
442
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence, systemic risks, and sustainability
442 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Royal Swedish Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago