The research surrounding artificial intelligence (AI) is vast and
quite diverse in both its applied and theoretical fields. AI tools
and techniques, such as machine learning, data mining, neural
networks, and advanced analytics, are evolving at a high speed,
creating a consistent need for updated research. This is especially
relevant with frequent developments for the application of AI
technology in many science and industry sectors. This rapid
expansion created a need for research that focuses on the questions
surrounding the development of AI such as ethical issues,
responsible AI methods and applications, and its widespread
implementation. Within the answers to these questions is the
prevailing notion that AI should be accountable, explainable,
transparent, and fair for all organizations and individuals.
Responsible AI and Ethical Issues for Businesses and Governments
widens the understanding of AI outside of the "narrow" technical
perspective to a broader viewpoint that embraces the links between
AI theory, practice, and policy. The chapters in this book discuss
the basic philosophical and conceptual foundations of AI and
explores the responsible application of AI tools and methods, the
moral aspects of AI, practical issues, and responsible AI
implementation across a range of industries. While highlighting
topics that include digital transformation, ethical competence,
information literacy in AI, and the interaction between AI and
humans, this book is ideally designed for IT specialists,
technology developers, technologists, ethicists, practitioners,
stakeholders, academicians, students, and researchers who are
interested in learning more about the ethical and responsible use
of AI.
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