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Episodes
269 papers found
| Paper | Edition | Year | Episode date |
|---|---|---|---|
AI governance: a systematic literature review Abstract As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different types of risks that should be identified, assessed, and mitigated. Various AI governance frameworks have been released recently by governments, organizations, and companies to mitigate risks associated with AI. However, it can… | 2025 | Sep 10, 2026 | |
Generative AI Adoption in B2B Firms: Ethical Governance, Innovation Capabilities, and Long-Term Competitive Performance The rapid diffusion of generative artificial intelligence (GenAI) is reshaping organisational systems and digital transformation strategies, yet it remains unclear which organisational conditions are associated with long-term competitive performance in business-to-business (B2B) contexts. This study adopts a systems-informed perspective and examines how… | 2026 | Sep 10, 2026 | |
Piloting a maturity model for responsible artificial intelligence: A portuguese case study Recently, frameworks and guidelines aiming to assist trustworthiness in organizations and assess ethical issues related to the development and use of Artificial Intelligence (AI) have been translated into self-assessment checklists and other instruments. However, such tools can be very time consuming to apply. Aiming to develop a more practical tool, an… | 2025 | Sep 10, 2026 | |
Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors Abstract Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important… | 2021 | Sep 10, 2026 | |
When humans stop thinking: tackling the silent threat of AI complacency in service operations Purpose This research investigates the phenomenon of AI complacency – The employee's tendency to intentionally neglect validating AI-generated output even in the presence of systematic errors. It identifies the lack of monitoring accountability as the underlying driver of this phenomenon, assesses its consequences, and offers strategies for mitigation.… | 2026 | Sep 10, 2026 | |
The unequal adoption of ChatGPT exacerbates existing inequalities among workers We study the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey linked to comprehensive register data in Denmark. Surveying 18,000 workers from 11 exposed occupations, we document that ChatGPT is widespread, especially among younger and less-experienced workers. However, substantial inequalities have emerged. Women are 16… | 2025 | Sep 10, 2026 | |
Still just personal assistants? – A multiple case study of generative AI adoption in software organizations Context: Generative AI (GenAI) is argued to transform software engineering (SE) in various ways, and GenAI tools show promise for various SE tasks. Software organizations across the globe are currently exploring the use of GenAI for SE. Objective: While numerous studies have recently been published on GenAI, few studies have looked at the adoption of… | 2025 | Sep 9, 2026 | |
| 2026 | Sep 9, 2026 | ||
| 2026 | Sep 7, 2026 |