scholarly journals Application of Artificial Intelligence to the DoD Corporate Information Management (CIM) Program

1992 ◽  
Author(s):  
Jr Bylund ◽  
Howard E.
Keyword(s):  
Artificial Intelligence ◽  
Information Management ◽  
Corporate Information

Healthcare uses of artificial intelligence: Challenges and opportunities for growth

2019 ◽  
Vol 32 (5) ◽  
pp. 272-275 ◽  
Author(s):  
Eric Racine ◽  
Wren Boehlen ◽  
Matthew Sample
Keyword(s):  
Artificial Intelligence ◽  
Information Management ◽  
Ethical Challenges ◽  
Healthcare Applications ◽  
Dynamic Information ◽  
Lifestyle Management ◽  
Challenges And Opportunities ◽  
Clinical Tools ◽  
Expected Benefits ◽  
Insight Into

Forms of Artificial Intelligence (AI), like deep learning algorithms and neural networks, are being intensely explored for novel healthcare applications in areas such as imaging and diagnoses, risk analysis, lifestyle management and monitoring, health information management, and virtual health assistance. Expected benefits in these areas are wide-ranging and include increased speed in imaging, greater insight into predictive screening, and decreased healthcare costs and inefficiency. However, AI-based clinical tools also create a host of situations wherein commonly-held values and ethical principles may be challenged. In this short column, we highlight three potentially problematic aspects of AI use in healthcare: (1) dynamic information and consent, (2) transparency and ownership, and (3) privacy and discrimination. We discuss their impact on patient/client, clinician, and health institution values and suggest ways to tackle this impact. We propose that AI-related ethical challenges may represent an opportunity for growth in organizations.

Trust in an Enterprise World

2019 ◽  
pp. 2145-2167
Author(s):  
Fotios I. Gogoulos ◽  
Anna Antonakopoulou ◽  
Georgios V. Lioudakis ◽  
Dimitra I. Kaklamani ◽  
Iakovos S. Venieris
Keyword(s):  
Information Management ◽  
Business Models ◽  
Management Practices ◽  
Personal Data ◽  
Security And Privacy ◽  
Protection Measures ◽  
Privacy Concerns ◽  
Modern Enterprise ◽  
Individual Participation ◽  
Corporate Information

Web 2.0 technologies have fundamentally reshaped everyday users' perceptions regarding online services by strengthening the importance of individual participation. This profound change is expanding to substantially affect modern enterprise operations and especially corporate information management practices. Well-established business models are upgraded to capture value from the establishment of dynamic coalitions and virtual organizations among remote stakeholders. However, these collaboration formulations dictate the concentration, use, and circulation of corporate information and sensitive personal data, and thus ignite severe security and privacy concerns. Enterprises against this background are more than willing to invest in terms cost and time in order to enforce the necessary countermeasures and thus build and maintain the trustworthiness of involved operations. This chapter studies how legislation and inherent characteristics of this new collaboration paradigm affect the qualities of trust and highlights prominent features of security and privacy protection measures that can deal with emerging trust issues.

Trust in an Enterprise World

2019 ◽  
pp. 1442-1463
Author(s):  
Fotios I. Gogoulos ◽  
Anna Antonakopoulou ◽  
Georgios V. Lioudakis ◽  
Dimitra I. Kaklamani ◽  
Iakovos S. Venieris
Keyword(s):  
Information Management ◽  
Business Models ◽  
Management Practices ◽  
Personal Data ◽  
Security And Privacy ◽  
Protection Measures ◽  
Privacy Concerns ◽  
Modern Enterprise ◽  
Individual Participation ◽  
Corporate Information

Web 2.0 technologies have fundamentally reshaped everyday users' perceptions regarding online services by strengthening the importance of individual participation. This profound change is expanding to substantially affect modern enterprise operations and especially corporate information management practices. Well-established business models are upgraded to capture value from the establishment of dynamic coalitions and virtual organizations among remote stakeholders. However, these collaboration formulations dictate the concentration, use, and circulation of corporate information and sensitive personal data, and thus ignite severe security and privacy concerns. Enterprises against this background are more than willing to invest in terms cost and time in order to enforce the necessary countermeasures and thus build and maintain the trustworthiness of involved operations. This chapter studies how legislation and inherent characteristics of this new collaboration paradigm affect the qualities of trust and highlights prominent features of security and privacy protection measures that can deal with emerging trust issues.

Theories in Information Management

2020 ◽  
pp. 40-51
Author(s):  
Cornelius J. P. Niemand ◽  
Kelvin Joseph Bwalya
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Information Management ◽  
Data Science ◽  
Predictive Analytics ◽  
Focal Point ◽  
Current Development ◽  
Intellectual Identity ◽  
Heterogeneous Technologies ◽  
Bibliometric Approach

The growth of the information management (IM) discipline and its importance in different socio-economic platforms cannot be over-emphasized. The current development of heterogeneous technologies shows that IM is the focal point of innovations such as blockchain, data science (big data, predictive analytics, etc.), artificial intelligence, automation, etc. This research was motivated by a desire to contribute towards establishing the intellectual identity of IM as a science and as a discipline. An exploration of the inventory of theories and conceptual frameworks enables us to have an understanding of the different methodologies currently being used and therefore define the level of development of the field as a discipline. This chapter aims to present the patterns and trends in theory conducted by different studies during the last 10 years (2009 – 2019). Using a bibliometric approach anchored on descriptive informetrics, the chapter explores the application of theory within the IM field.

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