Responsible Artificial Intelligence: Challenges for Sustainable Management

Автор: literator от 10-02-2023, 16:01, Коментариев: 0

Категория: КНИГИ » УЧЕБНАЯ ЛИТЕРАТУРА

Responsible Artificial Intelligence: Challenges for Sustainable ManagementНазвание: Responsible Artificial Intelligence: Challenges for Sustainable Management
Автор: Rene Schmidpeter, Reinhard Altenburger
Издательство: Springer
Год: 2023
Страниц: 304
Язык: английский
Формат: pdf (true), epub
Размер: 15.9 MB

Artificial Intelligence - and social responsibility. Two topics that are at the top of the business agenda.

This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence.

Particular emphasis is placed on the opportunities that Artificial Intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of Artificial Intelligence.

AI presents new challenges not only for data scientists but also for managers at all levels. On the one hand, there are new requirements that companies have to meet in the competitive environment, and on the other hand, there are a number of new questions that are associated with the use of AI. For the management teams, challenges arise here to discuss suitable forms of decision-making. For example, questions arise such as: Where does AI decide on its own, where does it provide decision support, or how do we deal with the uncertainties and fears in the organization?

AI is still seen as mysterious, unpredictable and black box-like by regulators, too. Explainable AI (XAI) methods have been developed to somehow trace the decision path of an AI. But with the exponential increase in neuronal net complexity, XAI approaches will probably not keep up.

The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as Artificial Intelligence and digitalization.

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