What AI Can Do for Innovation Managers and Innovation Managers for AI

Yams, Nina Bozic; Shubina, Galina Esther

doi:10.1142/9781800611337_0002

Cited by 2 publications

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“…Several key strategies to advance innovation in HR ecosystems exist. Cross-Functional Collaboration which encourages collaboration between HR professionals, IT specialists, data scientists, and other experts (Loscher, andBader, 2022, Yams andShubina, 2022). Cross-functional teams can bring diverse perspectives and skills to address complex challenges (Cayrat, and Boxall, 2022).…”

Section: Introductionmentioning

confidence: 99%

Review of Advancing U.S. Innovation Through Collaborative Hr Ecosystems: A Sector-Wide Perspective

Oluwatamilore Popo- Olaniyan,

Oladapo Olakunle James,

Chioma Ann Udeh

et al. 2023

Int. j. manag. entrep. res

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This paper provides a review of the collaborative HR ecosystems involving government, business, academia, and practitioners in the U.S. It assesses the impact of these collaborations on national innovation, their role in setting global HR standards, and their contribution to strengthening the U.S.'s position in the global economic landscape. In the pursuit of advancing innovation within the United States, the collaborative synergy within Human Resources (HR) ecosystems emerges as a pivotal factor. It delves into the intricate dynamics of fostering innovation through collaborative HR ecosystems from a sector-wide perspective. By examining various industries, the paper explores how the collective efforts of HR professionals, organizational leaders, and diverse stakeholders contribute to the cultivation of innovation. The analysis encompasses the strategic role of HR in talent management, the impact of collaborative approaches on workforce diversity and inclusion, and the integration of cutting-edge technologies such as Artificial Intelligence (AI) in shaping the future of HR practices. Additionally, the review addresses the challenges and ethical considerations associated with collaborative HR ecosystems and provides insights into potential strategies for overcoming these hurdles. By presenting a sector-wide perspective, this review aims to illuminate the multifaceted landscape of collaborative HR ecosystems and their profound influence on fueling innovation across diverse industries within the United States. Keywords: Human Resources, Artificial Intelligence, USA, Innovation, Ecosystem.

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Section: Introductionmentioning

confidence: 99%

Review of Advancing U.S. Innovation Through Collaborative Hr Ecosystems: A Sector-Wide Perspective

Oluwatamilore Popo- Olaniyan,

Oladapo Olakunle James,

Chioma Ann Udeh

et al. 2023

Int. j. manag. entrep. res

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From ethical AI frameworks to tools: a review of approaches

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AI Ethics

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In reaction to concerns about a broad range of potential ethical issues, dozens of proposals for addressing ethical aspects of artificial intelligence (AI) have been published. However, many of them are too abstract for being easily translated into concrete designs for AI systems. The various proposed ethical frameworks can be considered an instance of principlism that is similar to that found in medical ethics. Given their general nature, principles do not say how they should be applied in a particular context. Hence, a broad range of approaches, methods, and tools have been proposed for addressing ethical concerns of AI systems. This paper presents a systematic analysis of more than 100 frameworks, process models, and proposed remedies and tools for helping to make the necessary shift from principles to implementation, expanding on the work of Morley and colleagues. This analysis confirms a strong focus of proposed approaches on only a few ethical issues such as explicability, fairness, privacy, and accountability. These issues are often addressed with proposals for software and algorithms. Other, more general ethical issues are mainly addressed with conceptual frameworks, guidelines, or process models. This paper develops a structured list and definitions of approaches, presents a refined segmentation of the AI development process, and suggests areas that will require more attention from researchers and developers.

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What AI Can Do for Innovation Managers and Innovation Managers for AI

Cited by 2 publications

References 0 publications

Review of Advancing U.S. Innovation Through Collaborative Hr Ecosystems: A Sector-Wide Perspective

Review of Advancing U.S. Innovation Through Collaborative Hr Ecosystems: A Sector-Wide Perspective

From ethical AI frameworks to tools: a review of approaches

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