Co-Intelligence

Ethan Mollick

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cover backgroundCo-Intelligence

About this book

The age of AI is here. Are you ready?

From Wharton professor and bestselling author Ethan Mollick, comes a revolutionary guide to thriving in the age of AI. Co-Intelligence isn't about dystopian fears or utopian promises; it's a practical playbook for understanding and mastering the new tools that are rapidly changing our world.

Since November 2022, with the arrival of ChatGPT, we've entered an era of co-intelligence – a partnership between human ingenuity and artificial intelligence. Mollick, one of today's leading voices on AI, cuts through the hype and offers a clear, optimistic vision of how AI can augment human capabilities in work, education, and life.

Co-Intelligence urges you to embrace AI as a co-worker, co-teacher, and coach, providing real-time examples and actionable strategies to harness its power. Learn how to leverage AI without losing your identity, avoid its pitfalls, and create a better future. Wide-ranging, thought-provoking, and deeply insightful, this book reveals the extraordinary potential of co-intelligence and prepares you to thrive in this new era.

Summary of Key Ideas

  • AI as Augmentation, Not Replacement

    AI as a Co-Intelligence: Mollick introduces the concept of AI not as a replacement for human intelligence, but as a 'co-intelligence.' This emphasizes a collaborative relationship where AI augments human capabilities. This perspective reframes the narrative around AI, positioning it as a tool to enhance human skills and creativity rather than a threat to jobs or human relevance. The book likely explores how to best leverage this co-intelligence to achieve better outcomes in various fields.

  • Navigating the Jagged Frontier

    The Jagged Frontier of AI Capabilities: The 'jagged frontier' is a key concept describing the uneven and rapidly evolving capabilities of AI. It means that AI excels in some areas but remains weak or unreliable in others. Understanding this unevenness is crucial for effectively using AI, as it requires careful selection of tasks and a realistic assessment of AI's current limitations. This concept highlights the need for humans to maintain oversight and critical thinking when working with AI.

  • Humanizing AI Interaction

    Treating AI Like a Person (With Caveats): Mollick suggests treating AI like a person, but with clear instructions and context. This involves communicating clearly, providing specific roles, and setting expectations for the AI's behavior. However, it's crucial to remember that AI is not truly human and lacks genuine understanding or consciousness. This approach aims to improve AI's performance by providing it with a framework that mimics human interaction, while acknowledging its inherent limitations.

  • Embrace Experimentation and Continuous Learning

    Importance of Experimentation and Learning: Given the rapidly evolving nature of AI, continuous experimentation and learning are essential. This involves actively exploring different AI tools, techniques, and applications to discover what works best in specific contexts. A willingness to experiment and adapt is crucial for staying ahead of the curve and maximizing the benefits of co-intelligence. This highlights a proactive approach to AI adoption, emphasizing hands-on experience and continuous improvement.

  • Establishing Rules for Effective Collaboration

    The Four Rules of Co-Intelligence: The book likely outlines specific rules or principles for effective co-intelligence. These rules may cover aspects such as clear communication with AI, defining roles and responsibilities, setting expectations, and providing feedback. Understanding and applying these rules is essential for building successful human-AI partnerships. These rules probably provide a practical framework for integrating AI into workflows and decision-making processes.

  • Building a Blended Human-AI Workforce

    The Blended Workforce: 'Co-Intelligence' probably covers the integration of AI into the workforce. It discusses how humans and AI can work together, each contributing their unique strengths to achieve common goals. This includes redesigning jobs, retraining workers, and creating new roles that leverage both human and AI capabilities. The book probably promotes a vision of the future workforce where humans and AI collaborate seamlessly to enhance productivity and innovation.

Chapter Recap

Introduction: Three Sleepless NightsEthan Mollick believes that truly understanding AI requires at least three sleepless nights, sparked by the realization that these systems, particularly Large Language Models (LLMs) like ChatGPT, behave more like people than computers. This revelation dawns after a few hours of interaction, igniting
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About The Author

Ethan Mollick

Main Quotes

"You can no longer trust that anything you see, or hear, or read was not created by AI ."

"Humans, walking and talking bags of water and trace chemicals that we are, have managed to convince well-organized sand to pretend to think like us."

"You should try inviting AI to help you in everything you do, barring legal or ethical barriers."

"AI holds the potential to deliver personalized education, approximating the "two sigma" effect of one-on-one tutoring."

"Working with AI is easiest if you think of it like an alien person..."

"Always Invite AI to the Table."

"Be the Human in the Loop."

"Treat AI Like a Person (But Tell It What Kind of Person It Is)."

"AI can enhance creativity"

"AI as a Tutor"

Who Should Read This Book

Business professionals interested in AI and its applications

Educators and academics exploring AI in education

Individuals curious about the future of work and AI's role

Technology enthusiasts seeking to understand and leverage AI

Leaders and managers looking to integrate AI into their organizations

Anyone interested in the intersection of humans and artificial intelligence

Readers of non-fiction books about technology and society

People seeking practical guidance on using AI tools

Professionals in creative fields exploring AI's potential for collaboration

Students studying AI, technology, or business innovation

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Co-Intelligence
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