Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions

2023 | Information Systems Frontiers | Citations: 0

Authors: Fosso Wamba, Samuel; Queiroz, Maciel M.

Abstract: With the unparallel advance of leading-edge technologies like artificial intelli ... Expand

Abstract: With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented levels. However, a holistic view of how AI is being used for digital health remains scarce. Besides, there is a considerable lack of studies on responsible AI and ethical issues that identify and suggest practitioners’ essential insights towards the digital health domain. Therefore, we aim to rely on a bibliometric approach to explore the dynamics of the interplay between AI and digital health approaches, considering the responsible AI and ethical aspects of scientific production over the years. We found four distinct periods in the publication dynamics and the most popular approaches of AI in the healthcare field. Also, we highlighted the main trends and insightful directions for scholars and practitioners. In terms of contributions, this work provides a framework integrating AI technologies approaches and applications while discussing several barriers and benefits of AI-based health. In addition, five insightful propositions emerged as a result of the main findings. Thus, this study’s originality is regarding the new framework and the propositions considering responsible AI and ethical issues on digital health. Collapse

Topics: health information system artificial intelligence responsible artificial intelligence robotic big data

Methods: bibliometric analysis deep learning machine learning literature sample literature study

Grand Research Challenges Facing Ethically Aligned Artificial Intelligence

2021 | Americas Conference on Information Systems | Citations: 0

Authors: Abdel-Aal, Abdelnasser

Abstract: Despite the impressive progress of artificial intelligence, performance of many ... Expand

Abstract: Despite the impressive progress of artificial intelligence, performance of many systems has shown severe bias, horrible discrimination, and fatal errors. These immoral flaws have triggered philosophers, roboticists, futurists who have flooded the community with a proliferation of ethical principles for disciplining these systems. Regardless of the ambiguity and lack of consensus on these principles, the missing block is the translation of suggested normative principles into best practices, measures, regulations, policies, and research agenda. The first objective of this study is to introduce this emerging landscape of ethics to the information system community. The second objective is to reshuffle suggested principles, summarize them, and reproduce them in a form of ten grand research challenges and subfields that may guide future endeavors. Collapse

Topics: artificial intelligence robotic responsible artificial intelligence privacy digital divide

Methods: computational algorithm machine learning literature study qualitative content analysis structured literature research

Conflicts between privacy and property: The discourse in personal and organizational knowledge

2007 | Journal of Strategic Information Systems | Citations: 0

Authors: Dulipovici, Alina; Baskerville, Richard

Abstract: The paper critically examines knowledge ownership when personal or organizationa ... Expand

Abstract: The paper critically examines knowledge ownership when personal or organizational knowledge is transferred between individuals or between individuals and organizations. Employing a form of discourse analysis, we analyse the data from three complementary perspectives (international treaties and conventions on privacy and intellectual property, employment and merchant account contracts, and verdicts from knowledge-related legal cases) to unveil the conflicts between privacy and property rights. The results show a dialectical view where ownership shifts between the individual and the organization/community and therefore, the individual may or may not necessarily own what he knows. Privacy and property have been central issues in computational ethics for more than two decades. The use of information systems for strategic purposes offers new challenges for these established ethical concepts. Knowledge is not only a form of property governed by intellectual property law; it is also an individual attribute and, as part of the personality, it may be governed by privacy law. As a result, the dialectical view also shows that the ownership shift between the individual and the organization/community means that the organization may or may not necessarily own what it knows. Collapse

Topics: privacy organizational memory intellectual property knowledge management strategic information system

Methods: qualitative content analysis LexisNexis

Theories: core competency theory