Ethical Artificial Intelligence in Chemical Research and Development
A Dual Advantage for Sustainability
Datos Bibliográficos
| ID | 21688591 |
|---|---|
| Autores | Erik Hermann (0000-0003-0895-3562, Leibniz Institute for High Performance Microelectronics, autor de correspondencia), Gunter Hermann, Jean-Christophe Tremblay, Jean Christophe Tremblay (0000-0001-8021-7063, Université de Lorraine) |
| Año | 2021 |
| Volumen | 27 |
| Número | 4 |
| Páginas | 45-45 |
| Fecha de publicación | 2021-08-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Science and Engineering Ethics (JOURNAL) |
| Identificadores de la revista | ISSN: 1353-3452 • E-ISSN: 1471-5546 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11948-021-00325-6 |
| PMID | 34231042 |
| OpenAlex | W3182856435 |
| Idioma | EN |
| Referencias citadas | 90 |
Artificial intelligence can be a game changer to address the global challenge of humanity-threatening climate change by fostering sustainable development. Since chemical research and development lay the foundation for innovative products and solutions, this study presents a novel chemical research and development process backed with artificial intelligence and guiding ethical principles to account for both process- and outcome-related sustainability. Particularly in ethically salient contexts, ethical principles have to accompany research and development powered by artificial intelligence to promote social and environmental good and sustainability ( beneficence ) while preventing any harm ( non-maleficence ) for all stakeholders (i.e., companies, individuals, society at large) affected
Autonomy · Beneficence · Business ethics · Engineering ethics · Environmental ethics · Harm · Humanity · Political science · Public relations · Responsible Research and Innovation · Sustainability · Sustainable development · Engineering · Innovation, Sustainability, Human-Machine Systems · Law · Ecology
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Sustainable intensification in agricultural systems
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World Scientists’ Warning of a Climate Emergency
How AI can be a force for good
The Ethics of AI Ethics
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Artificial intelligence and business models in the sustainable development goals perspective
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
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The global landscape of AI ethics guidelines
The Fair Guiding Principles for scientific data management and stewardship
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Environmental sustainability is not worth pursuing unless it is achieved for ethical reasons
Research and Practice of AI Ethics
How to Design AI for Social Good
The Human Side of Artificial Intelligence
Fair, Transparent, and Accountable Algorithmic Decision-making Processes
A global perspective on sustainable intensification research
Connecting climate action with other Sustainable Development Goals
Sustainability
Agro-environmental sustainability assessment using multicriteria decision analysis and system analysis
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Envisioning the digital sustainability panopticon
Seeing without knowing
From What to How
Sustainable development
Questioning Big Data
The ethics of algorithms
| Altamente citado | No |
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