Characteristics and challenges in the industries towards responsible AI: a systematic literature review

被引：0
作者：
Marianna Anagnostou
Olga Karvounidou
Chrysovalantou Katritzidaki
Christina Kechagia
Kyriaki Melidou
Eleni Mpeza
Ioannis Konstantinidis
Eleni Kapantai
Christos Berberidis
Ioannis Magnisalis
Vassilios Peristeras
机构：
[1] International Hellenic University,
来源：
Ethics and Information Technology | 2022年 / 24卷
关键词：
Artificial intelligence; Responsible AI; Characteristics; Challenges; Business; Ethics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Today humanity is in the midst of the massive expansion of new and fundamental technology, represented by advanced artificial intelligence (AI) systems. The ongoing revolution of these technologies and their profound impact across various sectors, has triggered discussions about the characteristics and values that should guide their use and development in a responsible manner. In this paper, we conduct a systematic literature review with the aim of pointing out existing challenges and required principles in AI-based systems in different industries. We discuss our findings and provide general recommendations to be considered during AI deployment in production. The results have shown many gaps and concerns towards responsible AI and integration of complex AI models in the industry that the research community could address.
引用
收藏
相关论文
共 172 条
[1]  
Aitken M(2020)Establishing a social licence for financial technology: Reflections on the role of the private sector in pursuing ethical data practices Big Data & Society 21 29-40
[2]  
Toreini E(2014)AIonAI: A humanitarian law of artificial intelligence and robotics Science and Engineering Ethics 21 317-326
[3]  
Carmichael P(2014)Artificial intelligence and robot responsibilities: Innovating beyond rights Science and Engineering Ethics 44 101977-18
[4]  
Coopamootoo K(2020)Artificial intelligence applications in telecommunications and other network industries Telecommunications Policy 9 15-608
[5]  
Elliott K(2018)The human touch: Practical and ethical implications of putting AI and robotics to work for patients IEEE Pulse 27 591-185
[6]  
van Moorsel A(2017)Implementation of moral uncertainty in intelligent machines Minds and Machines 31 163-243
[7]  
Ashrafian H(2018)Consumer journey analytics in the context of data privacy and ethics Digital Marketplaces Unleashed 63 227-206
[8]  
Ashrafian H(2020)Accountable algorithms? The ethical implications of data-driven business models Journal of Service Management 16 175-105
[9]  
Balmer RE(2020)From data to action: How marketers can leverage AI Business Horizons 36 95-528
[10]  
Levin SL(2020)A conceptual framework on defining businesses strategy for artificial intelligence Contemporary Management Research 24 505-296
12345678910