1 More Paper.

Generative Artificial Intelligence (GenAI) is increas-ingly integrated into software products to enable new features and user capabilities, from early exploration to operational deployment. GenAI adoption as a component within a soft-ware system introduces quality risks because GenAI outputs are probabilistic, prompt-sensitive, and may drift after…

“Vibe coding” — the practice of developing software through iteratively conversing with a large language model (LLM) — has exploded in popularity within the last year. However, de- velopers report key limitations including the accumulation of technical debt, security issues, and code churn to achieve satisfactory results. We argue that these pitfalls…

Abstract We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average, with substantial heterogeneity across workers. The effects vary significantly across different…

Abstract Responsible AI (RAI) entails developing, using, and governing AI in a human-centred way to ensure its trustworthiness and alignment with human values. Organizations attempt to enact RAI through guiding principles that aim to minimize threats such as bias and privacy violations and enhance outcomes such as transparency and fairness. In the…

What is the role of product managers (PMs) in the responsible use of generative AI (genAI) in products and everyday work— and what enables or constrains their ability to take action? Past literature has examined the ways in which organizational policies can become decoupled from practices when incentives for responsible action are misaligned or impeded…

We introduce and study the concept of a “jagged technology frontier” to describe the uneven impact of artificial intelligence (AI) capabilities, where AI assistance improves performance for some tasks but worsens it for others, even within the same knowledge workflow and with a seemingly similar level of difficulty. In collaboration with the global…

Although organizations increasingly position AI adoption as a path- way to competitiveness and innovation, organizations’ perspectives on productivity and efficiency often clash with workers’ perspec- tives on AI’s economic and social value. Through design workshops with 15 UX designers, we examine how AI adoption unfolds across individual, team, and…