AI: From Insights to Impact

Introduction

Purpose: Use these resources to support AI-related teaching and learning needs at Harvard Business School (HBS). Detect emerging trends, explore how AI can address business pain points and transform daily lives, and gain insights into new business practices.

Subject Scope: All aspects of AI across disciplines and real-world practices, from the past to the present and into the future.

Resource Coverage: Explore this curated, non-exhaustive resource collection featuring diverse viewpoints on evolving subjects. Selected resources include datasets, emerging trends, breakthrough developments, practical applications, key terminology, essential tools, professional networks, and expert insights.

Related: Learn with Baker Library: Generative AI for MBAs offers an introduction to the effective and responsible use of generative artificial intelligence tools to support your MBA learning at HBS.

Getting Started

Research

Harness critical data and practical insights from these resources to capitalize on opportunities in the AI era.

Data Sources and Tools

Consider copyright, ethical and legal issues, data security, accessibility, and stakeholders before collecting project data.

If you need to log in to access a dataset, your institution has negotiated terms of access to that data. Violating those terms could jeopardize future access for you and others.

Opensource content is not automatically free from copyright. Make sure you understand the license terms and respect the rights of the original creators when using opensource materials for AI training.

Shape Responsible AI Practice

As businesses race to adapt operations around AI, rapid AI development is outpacing regulation. Bridging government-industry AI understanding is crucial. Contribute to the development of AI ethics and enforcement of AI governance with your research, knowledge sharing, and practice. In this section, the term “responsible AI” refers to AI governance that establishes the organizational processes for AI, guided by the ethical principles defined by AI ethics.