AI Multidisciplinary High-Impact Questions (AIMHIQ)
Powered by a Global Group of Independent Experts Across Disciplines, Collaborating to Consolidate, Prioritize, and Monitor the Key Questions That May Shape AI and Our Future.
“To find the right answers, first we must first ask the right questions"
Hal Gregersen (MIT Sloan School of Management)
What Problem Are We Trying to Solve or Help With?
AI REVOLUTION: AI is advancing at an extraordinary pace and may soon surpass human capabilities across all/most domains. The AI revolution might bring both massive opportunities and serious risks for humanity.
LACK OF CLARITY: Yet today, there's widespread uncertainty around AI. It's increasingly difficult to know where we really are with AI, which future scenarios are more likely, and what the potential impact may be on individuals and humanity. It's increasingly difficult to know where we really are with AI, which future scenarios are more likely, and what the impact for individuals and humanity may be. There are vastly different expectations about AI’s trajectory, from extreme optimism to existential fear. Many core questions remain unanswered, and there’s no agreement around the most likely milestones, timelines, capabilities, or societal impacts.
GROWING POLARIZATION: At the same time, polarization is deepening between groups who see AI as a revolutionary force for good ("boomers") and those who see it as an existential threat ("doomers"). This fragmentation makes it even harder to form a realistic, grounded picture of what’s happening, where the technology is heading, what the most pressing risks and opportunities are, and and what actions we should take to maximize benefits while mitigating risks.
ASKING THE RIGHT QUESTIONS: To achieve more clarity, we first need to ask better questions: focusing on the most relevant, high-impact issues in a clear, pragmatic, and prioritized way. This is key to achieving better answers and greater clarity. And currently there's not enough clarity & consensus around...
What are the most critical questions/topics we need to investigate?
Which questions are most urgent or consequential to resolve?
How close are we to answering them, and where are the biggest knowledge gaps?
Who is working on what, and where is more attention, expertise, or coordination needed?
Without sufficient clarity and alignment, we risk navigating one of the most consequential transitions in human history without an adequate map.
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Expert Network Insights
Global Collaborators
Our Mission
We will consolidate, evaluate, prioritize and monitor the most consequential (i.e. impactful) AI-related questions, integrating inputs from AI experts across disciplines globally. We'll then iteratively refine and evolve this framework, making it openly available, regularly updated, and globally accessible.
What We Do
We have designed a specific framework and process to efficiently engage a broad range of experts across disciplines, and achieve results across three main stages:
1. Collect & Consolidate
Gather multidisciplinary expert inputs to identify and consolidate the most critical AI-related questions.
2. Assess & Prioritize
Evaluate, characterize and rank the questions based on their potential impact, urgency, and current attention gaps.
Continuously monitor the status of the AI landscape, questions, answers, updated insights, and refine the dashboard to reflect latest knowledge.
3. Track & Refine
Key Domains & Disciplines
We are building and leveraging a network of experts from across key disciplines, including but not limited to the following:
Artificial Intelligence & Machine Learning
Computer Science & Software Engineering
Cognitive Science & Neuroscience
Philosophy & Ethics
Political Science & International Relations
Law, Governance & Public Policy
Economics & Political Economy
Sociology & Anthropology
Psychology & Decision Sciences
History & Foresight
Education & Human Development
Environmental Science
Healthcare & Public Health
Journalism & Media Studies
Our Approach and Key Values
We are defining a implementing of key principles and values that are driving all design and execution decisions we make, to ensure we can properly fulfill our mission and vision. These values include (but are not limited to):
Mission focused: HELPING HUMANITY BETTER PREPARE FOR AI/AGI/ASI
Combine deep + diverse multidisciplinary expertise
Be and remain independent (vs influenced by corporate, academic, political or interests)
Minimize bias and polarization
Globally distributed and connected
Open and inclusive of differing views
Transparent
Rigorous and evidence-based whenever evidence exists
Practical and results-oriented (vs overly academic)
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Submit a 'high-impact question' (HIQ)
for consideration
