scholarly journals Commentary: Artificial intelligence – A game changer

2020 ◽  
Vol 68 (2) ◽  
pp. 405
Author(s):  
Ashish Ahuja ◽  
Dheeraj Kewlani
2019 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Manigreeva Krishnatreya

2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Erik Hermann ◽  
Gunter Hermann ◽  
Jean-Christophe Tremblay

AbstractArtificial 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.


Thesis Eleven ◽  
2019 ◽  
Vol 153 (1) ◽  
pp. 94-112 ◽  
Author(s):  
Elke Schwarz

Artificial Intelligence as a buzzword and a technological development is presently cast as the ultimate ‘game changer’ for economy and society; a technology of which we cannot be the master, but which nonetheless will have a pervasive influence on human life. The fast pace with which the multi-billion dollar AI industry advances toward the creation of human-level intelligence is accompanied by an increasingly exaggerated chorus of the ‘incredible miracle’, or the ‘incredible horror’, intelligent machines will constitute for humanity, as the human is gradually replaced by a technologically superior proxy, destined to be configured as a functional (data) component at best, a relic at worst. More than half a century ago, Günther Anders sketched out this path toward technological obsolescence, and his work on ‘Promethean shame’ and ‘Promethean discrepancy’ provides an invaluable means with which to recognise and understand the relationship of the modern human to his/her technological products. In this article, I draw on Anders’s writings to unpack and unsettle contemporary narratives of our relation to AI, with a view toward refocusing attention on the responsibilities we bear in producing such immersive technologies. With Anders, I suggest that we must exercise and develop moral imagination so that the human capacity for moral responsibility does not atrophy in our technologically mediated future.


2020 ◽  
Vol 97 ◽  
pp. 3-4
Author(s):  
Guy Shtar ◽  
Lior Rokach ◽  
Bracha Shapira ◽  
Matitiahu Berkovitch ◽  
Natalie Dinavitser ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Komal Khandelwal ◽  
Ashwani Kumar Upadhyay

Purpose This paper aims to explore the application of artificial intelligence (AI) for coaching. This paper discusses the different applications, benefits, challenges and implementation issues in AI usage in coaching. It highlights how AI is facilitating the up-skill and re-skill of employees. Design/methodology/approach The viewpoint reviews the articles, research papers and case studies. Findings AI-based coaching apps are aiding managers and supervisors in coaching and tracking trainees and mentees’ progress. AI is being used to customize the coaching program as per the mentee’s individual needs. AI-powered coaching systems can analyze recorded sales conversations and offer real-time coaching and feedback. Research limitations/implications AI-powered coaching systems help transform coaching from standard in-person one-to-one mode to personalized and customized AI system assisted coaching system. Research is needed to understand the factors that can facilitate AI-powered coaching transform into a game changer in the coaching industry. Originality/value This paper reviews and discusses several AI-powered coaching applications. This paper is useful for researchers and professionals in the field of coaching and mentoring, as it offers a review of the current AI-powered coaching applications. Practical implications AI systems offer private unbiased feedback and help self-assessment of individual mentee and mentor performance. AI provides a capability for organizations to track individuals’ learning and calculate return on investment.


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