专题:Innovation, Sustainability, Human-Machine Systems

This cluster of papers explores the interconnectedness and interdependence of various scientific, societal, and environmental factors, including human population growth, climate change, biodiversity protection, organizational performance, corporate social responsibility, ethical sustainability, and the role of artificial intelligence in shaping human-machine teams. The papers highlight the need for sustainable and responsible approaches to address the complex challenges facing our planet and emphasize the importance of interdisciplinary collaboration and ethical decision-making.
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Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals

article Full Text OpenAlex 423 FWCI36.8446

A Unified Framework of Five Principles for AI in Society

other Full Text OpenAlex 379 FWCI0

How can artificial intelligence impact sustainability: A systematic literature review

review Full Text OpenAlex 367 FWCI16.6486

Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance

article Full Text OpenAlex 361 FWCI86.7966

Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health

article Full Text OpenAlex 348 FWCI30.4015

Risks and Benefits of Large Language Models for the Environment

editorial Full Text OpenAlex 272 FWCI0

Atlas of AI: power, politics, and the planetary costs of artificial intelligence.

article Full Text OpenAlex 241 FWCI67.3759

Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship

article Full Text OpenAlex 200 FWCI12.6991

Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting

article Full Text OpenAlex 197 FWCI87.821

Artificial Intelligence and Sustainable Decisions

article Full Text OpenAlex 197 FWCI41.7105