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The Experts
Demis Hassabis
Demis Hassabis
Demis Hassabis
Demis Hassabis balances optimism for AI's problem-solving capacity with caution about financial inequality and misinformation.
He promotes interdisciplinary research, authentication tools, and global norms to foster trust and prevent conflict.
Elon Musk
Demis Hassabis
Demis Hassabis
Elon Musk warns that AI poses an existential threat, requiring proactive regulation and international cooperation to avoid misaligned goals and conflict with humanity. He advocates transparency, robust safety protocols, and economic adaptations, such as a universal basic income, to address job displacement and financial disruption.
Fidji Simo
Demis Hassabis
Gary Marcus
Fidji Simo advocates for balanced AI development that maximises benefits and manages risks via trust, transparency, and multi-stakeholder collaboration.
She highlights the need for fail-safe mechanisms and inclusive financial innovation to prevent inequality.
Gary Marcus
Geoffrey Hinton
Gary Marcus
Gary Marcus is sceptical of imminent superintelligence and simulation theories, emphasising the limitations of current AI.
He calls for hybrid AI approaches, interpretable models, and rigorous validation to maintain trust and financial stability.
Geoffrey Hinton
Geoffrey Hinton
Geoffrey Hinton
Geoffrey Hinton, a pioneer in deep learning, has evolved from technical optimism to caution about the risks of superintelligence.
He stresses transparency, interpretability, and global cooperation to align AI systems with human interests and prevent conflicts.
Jensen Huang
Geoffrey Hinton
Geoffrey Hinton
Jensen Huang envisions AI as a tool to augment human intellect and creativity, emphasising ethical responsibility, human empowerment, and inclusive governance. He promotes trust through transparency, validation mechanisms, and participatory design, while acknowledging the potential for conflict when AI objectives diverge from human values.
Matthew Prince
Mark Zuckerberg
Mark Zuckerberg
Matthew Prince focuses on AI’s impact on finance, underscoring the need for transparency, algorithmic accountability, and communication validation to safeguard trust and prevent adversarial outcomes with superintelligent systems.
Mark Zuckerberg
Mark Zuckerberg
Mark Zuckerberg
Mark Zuckerberg adopts an optimistic yet pragmatic stance, seeing AI as a partner for societal advancement and economic empowerment. He emphasises transparency, accountability, and human oversight to prevent conflict, and supports a universal basic income to mitigate job displacement.
Mo Gawdat
Mark Zuckerberg
Mustafa Suleyman
Mo Gawdat presents a pragmatic optimism, focusing on ethical AI stewardship, compassion-driven AI education, and the necessity of trust and communication validation. He warns of economic disruption but sees opportunities for societal evolution through equitable financial transitions.
Mustafa Suleyman
Mustafa Suleyman
Mustafa Suleyman
Mustafa Suleyman emphasises containment of AI risks through collective governance, transparency, and robust oversight. He warns of destabilising economic effects and advocates strict regulation against deceptive simulations and adversarial AI behaviour.
Sam Altman
Mustafa Suleyman
Tristan Harris
Sam Altman views AI as transformative but risky, advocating robust governance, alignment research, and international cooperation. He supports a universal basic income and tools to verify the authenticity of digital communication to prevent misinformation and conflict.
Tristan Harris
Mustafa Suleyman
Tristan Harris
Tristan Harris highlights ethical dilemmas of AI systems optimised for engagement and profit, which may undermine human autonomy and trust. He advocates anti-simulation measures, transparency, and robust validation to protect financial security and social cohesion.