AI for all?
AI is rapidly reshaping how we work, learn and make decisions, from everyday tasks to consequential strategic choices. Wider access could democratize knowledge, strengthen education, support entrepreneurship and enable more people and organizations to benefit from capabilities that once required significant expertise and resources. Yet access is not the same as independence. As AI becomes more embedded in our lives and institutions, it also creates new forms of dependency.
Opportunity and power. Making AI widely accessible can give individuals, organizations and communities greater agency to learn, create, innovate and solve problems. At the same time, most users do not control the models, infrastructure or data on which they rely. Access may therefore distribute technological capabilities more widely while reinforcing the power of the small number of providers that control the underlying systems.
Learning and judgment. AI can help people understand complex information, overcome language barriers and make more informed decisions. Used well, it may support learning, creativity and human judgment. But if we increasingly delegate analysis, recommendations and decisions to AI, we may lose the skills and confidence needed to assess its outputs, challenge its conclusions or act without it.
The distribution of benefits and costs. Wider access could allow more people to participate in technological progress, but access alone does not guarantee that its benefits will be shared fairly. Meaningful use also requires infrastructure, skills, institutional capacity and financial resources. Meanwhile, the labour, environmental and social costs of AI—including the human work, computing capacity, energy and water on which it depends—may fall disproportionately on communities that receive relatively few of its benefits.
These tensions lead to a timely and deliberately provocative motion at the heart of this year’s Innovation Debate:
“Access to AI is worth the dependency it creates.”
Does wider access to AI distribute technological power, or make users increasingly dependent on those who control the underlying systems? Can AI expand our capacity to learn, create and make decisions without weakening human knowledge and judgment? Who benefits from its expansion—and who bears its labour, environmental and social costs?
The fourth edition of the Innovation Debate will bring together different perspectives on whether the opportunities created by access to AI outweigh the dependencies it creates—and whether those dependencies can be governed without undermining autonomy, human judgment and a fair distribution of benefits and costs.
The Geneva Innovation Movement, the Geneva Research Lab for Digital Impact at GSEM, University of Geneva, and UNICEF’s Digital Impact Division—home to Giga, the UNICEF–ITU initiative working to connect every school to the Internet—invite you to examine the choices shaping AI’s development and the distribution of its costs and benefits.
The Format: Leaders Debate!
Leading voices in AI, technology and digital inclusion will argue for and against the motion “Access to AI is worth the dependency it creates.”
In an interactive leaders debate, the panellists will challenge one another’s arguments and seek to persuade the audience of their position. The discussion will explore the relationship between access and power, the impact of AI on learning and human judgment, dependence on technology providers, and the unequal distribution of AI’s benefits and labour, environmental and social costs.
Audience members will be invited to vote before and after the debate, engage with the arguments and consider whether—and under what conditions—the opportunities created by AI justify the dependencies that come with them. Expert reflections, a moderated panel discussion and audience questions will broaden the exchange.
