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Our insights, research, and case studies
On the collective intelligence of humans and machines in a complex world
Decoding the AI Future: How generative AI reshapes the world of work
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Decoding the AI Future: The advent of the generative AI workforce
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Decoding the AI Future: How skills drive the future of work in the age of generative AI
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Decoding the AI Future: How generative AI challenges the automation vs. augmentation debate
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Decoding the AI Future: Top 3 must-know principles for generative AI's impact on jobs
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Decoding the AI Future: Deciphering the job landscape in the age of generative AI
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Decoding the AI Future: Is subpar automation the real culprit behind sluggish productivity growth?
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Decoding the AI Future: Programmers as the litmus test for generative AI's job influence
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Decoding the AI Future: When machines know more—the evolution of expertise in the AI era
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Decoding the AI Future: Why the fear of AI-driven human obsolescence might Be overblown
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Decoding the AI Future: How to think about job automation studies
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Decoding the AI Future: Further reading—the productivity paradox
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Decoding the AI Future: Resources for the series
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Make Better Decisions with Generative AI: Navigating the Explore/Exploit Tradeoff
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Case study: Leveraging generative AI to enhance data-driven decision making at a global retail company
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Case study: Harnessing the Power of Metaphors and System Understanding at Company X
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Case study: Generative AI for the global marketing team at a global bank
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Mind for our Minds: Culture
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Announcing [Your Team's] Generative AI Summit
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Research brief: C-Suite Strategy Playbook for Generative AI
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Mind for our Minds: Meaning
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Mind for our Minds: Introduction
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Research brief: Our hot takes on Stanford HAI's AI Index Report 2023
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Research brief: aiOS—Foundation Models
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Research brief: OpenAI has demonstrated GPT-4. Here’s our take.
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Want to make ChatGPT work for you? Aim for increasing the collective intelligence.
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Three Reasons You Should Care About ChatGPT (If You Don’t Already)
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Unlocking the benefits of data-driven decision making
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How to get your decision making unstuck
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Case study: Company X knows technology needs to be human
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Case study: Helping Company X build more responsible AI
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Case study: Helping leaders at Company X use data and AI for good
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How to make better leadership decisions
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Case study: Helping People at Company X Better Solve Complex Problems
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Case study: Building A Data-Driven Decision-Making Culture At Company X
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Case study: R/GA is Even More Creative with Inspirational, Inclusive Design
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Case study: AI-Readiness is an Imperative at The New York Times
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Case study: Developing an AI-Ready Workforce for the State of Oregon
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How to make better creative decisions
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Case study: Designing an AI-powered knowledge management system
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Case study: Designing an AI-powered sports app
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How to define a problem or decision
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How to make better happiness decisions
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Case study: Designing a data portal for the venture capital industry
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Why data makes decisions harder
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Ethical AI Whitepaper
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AI recruitment toolkit
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AI Is Changing Strategy, Competition And Our Time
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AI should account for what humans want
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AI that is too fast will discourage people
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How to stay creative in the data age
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How to think about intuition in the data age
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How to design a data culture in two steps
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How to get the most from data— use it to update your intuition
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How to design culture in the age of AI
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How to build AI that humans want
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How to design human-centered, not human futures, AI
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How to map human and machine roles
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The quest to make AI less prejudiced
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AI’s natural language frontier—context is king but just how big will models get?
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Why all AI design should include power mapping
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The Paradox Of Personalization. How AI and personal agency conflict
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How to think about personalization and not over-personalize
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How giving yourself up to AI is an existential problem
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If we want to stop human downgrading, we need a new paradigm for AI
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How to make ethical AI without stymying technologists
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The five components of AI best practice are about people
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How to know if AI is the right solution
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The psychological phenomenon that every AI product designer needs to understand
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This is how people like machines to explain themselves
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If an AI assistant disappoints, people give up
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People like advice from AI
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Design more valuable AI by understanding how humans think
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Is AI a solution looking for a problem?
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Why human-centered AI design matters
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Human-centered AI for product managers and innovators
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