MIT斯隆管理学院

What you’ll learn: A new paper from researchers at the MIT Sloan School of Management argues that AI’s biggest impact comes from how it reshapes entire workflows — specifically, how tasks are sequenced, grouped, and handed off between humans and machines. Most organizations have approached artificial intelligence as a tool for boosting productivity at individual tasks, such as drafting emails, summarizing documents, or generating code.

What you’ll learn: AI should be treated as an operating system, not a toolkit, to generate measurable business impact. Job role is no longer the right unit of work analysis after AI adoption; organizations need to redesign work task by task. Closing the “last mile” gap between AI’s potential and real-world impact requires new metrics, user involvement, and a test-and-scale mindset.As organizations deploy artificial intelligence mor

What you’ll learn: Developers with access to GitHub Copilot increased the proportion of their time spent on core coding by 12.4% while cutting the proportion of their time spent on project management tasks by 24.9%.Junior developers saw the biggest impact from AI assistance, which makes a case against replacing entry-level workers with AI.As AI shortens the learning curve, employers must ensure that workers are using it to learn rather than

Closed AI models are proprietary systems that keep their code confidential. Open models make public one or more model details. A new paper found: Users largely opt for closed models, which account for about 80% of model usage.Open models achieve about 90% of the performance of closed models at the time of release but quickly make up the difference.Closed models cost users, on average, six times as much as open ones.Optimal reallocation of de

What you’ll learn about establishing pro-worker artificial intelligence:Build domain-specific, reliable AI systems.Design AI that supports skill development.Use interaction techniques to reduce blind reliance on AI.Adopt adaptive decision-support systems.Recognize that pro-worker AI requires deliberate design and policy intervention.Imagine an electrician equipped with an artificial intelligence tool that can spot edge-case failures, surface insi

Nine of the 10 articles on our list of the past year’s top articles focus on how AI is changing work and how we work, from the macro — predictions about how AI will affect the U.S. economy in the next decade — to more specific guidance about when to use machine learning, when to use generative AI, and when the two pair well together.

New books from MIT Sloan experts this year examined the role of ecosystems in organizational success, the benefits of adopting dynamic work design, and the need to understand the cultural evolution of artificial intelligence.

Firms are making organizational changes in search of returns from their artificial intelligence implementations, with 88% of respondents to a recent McKinsey survey saying that their organization uses AI in at least one business function.Whether your organization has already logged AI implementation successes or is just beginning to think about using the technology, these three guides derived from MIT research can help you plan for what’s next.

What you’ll learn:1. AI is poised to reduce costs in the transportation sector, potentially augmenting or automating $65 billion worth of tasks.2. Some 1.1 million full-time transportation employees could be impacted by AI.3. Lower-skilled workers should receive additional training to stay competitive in the workforce.Artificial intelligence is revolutionizing the transportation industry — optimizing routes, streamlining supply chains, enabl

What you’ll learn:When presented with the same prompt in different languages, generative AI provides culturally distinct responses. Users should be aware of this subtle tendency.Do generative AI models have cultural leanings? A new study led by MIT Sloan’s Jackson Lu suggests they do. In examining two of the world’s most widely used generative AI models — OpenAI’s GPT and Baidu’s ERNIE — Lu and his colleagues found that the models’

Why it matters:Meritocracy is intended to level the playing field and reward individuals based on merit; in practice, it can often end up reinforcing unfairness and privilege. Here’s how to fix what’s gone wrong.Meritocracy — the idea that individuals should advance and be rewarded on the basis of their talent and hard work — is one of the most widely celebrated ideals in education, business, and government. It shapes how organizations recruit, e