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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhao, Jingchen | - |
| dc.contributor.author | Gómez Fariñas, Beatriz | - |
| dc.date.accessioned | 2023-09-28T04:42:40Z | - |
| dc.date.available | 2023-09-28T04:42:40Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s40804-022-00262-2 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/9334 | - |
| dc.description | CC-BY | vi |
| dc.description.abstract | When addressing corporate sustainability challenges, artificial intelligence (AI) is a double-edged sword. AI can make significant progress on the most complicated environmental and social problems faced by humans. On the other hand, the efficiencies and innovations generated by AI may also bring new risks, such as automated bias and conflicts with human ethics. We argue that companies and governments should make collective efforts to address sustainability challenges and risks brought by AI. Accountable and sustainable AI can be achieved through a proactive regulatory framework supported by rigorous corporate policies and reports. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | artificial intelligence | vi |
| dc.subject | Sustainable Decisions | vi |
| dc.title | Artificial Intelligence and Sustainable Decisions | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Pháp luật - Thể chế xã hội | ||
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