Problem URL. Describe the connection issue. Toggle navigation Back to results. Responsibility Mark M. Edition 2nd ed. Imprint New York : Praeger, Physical description p. Series Washington papers ; Available online.
Full view. SAL3 off-campus storage. U5 L68 Available. More options. Find it at other libraries via WorldCat Limited preview. Bibliography Includes bibliographical references and index. A major debate has now opened over the future structure, size and role of US intelligence in the aftermath of the cold war. This book is a history of the US intelligence community - as well as a detailed description of the organisation and function of the major components of the community as they existed at the beginning of The history of the intelligence community can be divided into three distinct periods.
On the other hand, AI makes Big Data meaningful through cognitive computing because analysis of Big Data by humans can be extremely time-consuming and thus the utilisation of AI techniques help to make sense of Big Data Gupta et al. Thus there is still a strong need to further explore and understand the synergy of AI and Big Data. More research is needed to establish the unique advantages obtained by the combination of these technologies and understand how AI can be further improved with the increasing availability of Big Data with its volume, variety and velocity.
Therefore, we make the following proposition: Proposition 9 —There is a necessary to fully understand the synergy of AI and Big Data and its implications for AI research and practice. Culture and AI applications Culture has been recognised as an important influential factor in technology acceptance by many studies in the past. Liu, Chan, Zhao, and Liu published online also find a significant influence of both organisational and Chinese national culture on knowledge management.
If culture does play a role, how, why and to what extent does it affect the AI success? On the other hand, will the wide use of AI for supporting and automating human decision making change culture? This is an area that has not been well explored so far, thus requir ing further investigation with the following research proposition: Proposition 11 — The acceptance and successful application of AI for decision making may result in a change of culture in organisations and in individual behaviour.
Ethical and legal issues Rapid advances in AI are raising serious ethical concerns. Ethical and legal concerns surrounding the applications of AI have become a major challenge.
As this topic has received a substantial amount of attention and debate, a separate full paper would be more appropriate to this topic. However, as the role of government is critical for addressing the ethical concerns and legal challenges, particularly around responsibility for and explainability of decisions made by an automaton AI system, it is imperative that more research must be carried out on the role of the gover nment in shaping the future of AI Galston, How can the government develop adequate policy, regulations, ethical guidance and legal framework to prevent misuses of AI and their potential disastrous consequences on both individual and societal levels?
Therefore, this paper makes the following proposition: Proposition 12 — Government plays a critical role in safeguarding the impact of AI on society. Conclusion As AI has become more popular today due to Big Data, advanced algorithms, and improved computing power and storage, AI systems are becoming an embedded element of digital systems, and more specifically, are making a profound impact on human decision making.
As a result, there is an increasing demand for information systems researchers to investigate and understand the implications of AI for decision making and to contribute to the theoretical advancement and practical success of AI applications.
This paper aims to address this need by analysing and highlighting the critical challenges and opportunities for IS researchers. Twelve research propositions are provided focusing on the use and impact of AI for decision making in terms of: theoretical development, technology-human interaction and AI implementation.
Table 3 provides a summary of research propositions. Although the propositions are specifically for research in AI for decision making, most of them can also provide relevant directions for research on the use and impact of AI in general. Table 3. A summary of research propositions Theoretical development Technology-human AI implementation interaction 1. Proposition 1 — Defining AI 4. Proposition 4 — AI can play 8.
Proposition 9 —There is a necessary to fully applications in the era of rather than as the Big Data. AI and Big Data and its 2. Proposition 5 — The research and practice. Therefore, there is systems is important for Proposition 10 — The acceptance of AI for a need to develop and test their success, but the decision making can be theoretically sound and ergonomic issues are affected by different practically feasible AI different between impact indicators to supporting, augmenting, cultures and personal measure its benefits.
Proposition 11 — The 3. Proposition 3 — It is necessary to theorise the 6. Proposition 6 — AI systems acceptance and successful application of AI for use of AI and its impact on performance for decision decision making may result decision making, therefore making can be refined and in a change of culture in an integrated conceptual improved by deep learning framework is needed to while the systems are in use organisations and in by decision makers.
Proposition 12 — decision making. Government plays a critical personal traits and role in safeguarding the knowledge and impact of AI on society. Like any publication, this opinion paper has certain limitations. First, it only reviews and discusses the history of AI through IJIM papers and so our findings may not be comprehensive and representative.
Second, the paper only focuses on identifying the challenges and opportunities from the applications of AI for decision making; it does not cover issues related to advancing AI techniques and systems. Third, as an opinion paper, no primary data was collected or used to support the development of the research propositions.
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