details
Monograph, Collected Work or primary publication accessible via
URN: urn:nbn:de:0111-pedocs-276994
DOI: 10.25656/01:27699
URN: urn:nbn:de:0111-pedocs-276994
DOI: 10.25656/01:27699
| Title |
How companies succeed in developing ethical artificial intelligence (AI) |
|---|---|
| Author | Klein, Felix |
| Source | 2023, 4 S. |
| Document | full text (356 KB) |
| License of the document | In copyright |
| Keywords (German) | Künstliche Intelligenz; Unternehmensberatung; Unternehmensentwicklung; Leitfaden; Überblick; Finanzieller Anreiz; Ethik; Soziale Anerkennung; Soziale Auswirkung; Ethisches Handeln |
| sub-discipline | Teaching Didactics/General Educational Topics |
| Document type | Monograph, Collected Work or primary publication |
| Language | English |
| Year of creation | 2023 |
| review status | Review Status Unknown |
| Abstract (English): | The rapid advancement of artificial intelligence (AI) has the potential to bring great benefits to society, but also raises important ethical and moral questions. To ensure that AI systems are developed and deployed in a responsible and ethical manner, companies must consider a number of factors, including fairness, accountability, transparency, privacy, and consistency with human values. This essay provides an overview of the key considerations for building an ethical AI system and briefly discusses the challenges, including the importance of developing AI systems with a clear understanding of their potential impact on society and taking steps to mitigate any potential negative consequences. This essay also highlights the need for continuous monitoring and evaluation of AI systems and outlines a strategy, namely an enterprise-wide "Ethics Sheet for AI tasks", to ensure that AI systems are used in an ethical and responsible manner within the company. Ultimately, building an ethical AI system requires a commitment to transparency, accountability, and a clear understanding of the ethical and moral implications of AI technology, and the company must be aware of the long-term consequences of using a non-ethical and morally questionable AI system. (DIPF/Orig.) |
| Statistics |  Number of document requests
|
| Checksums | checksum comparison as proof of integrity |
| Date of publication | 28.11.2023 |
| Citation | Klein, Felix: How companies succeed in developing ethical artificial intelligence (AI). 2023, 4 S. - URN: urn:nbn:de:0111-pedocs-276994 - DOI: 10.25656/01:27699 |
share content at social platforms
Teile diese Seite:
