MIT Conference: Karen Hao and Paola Ricaurte on the Right Path for AI

At an MIT conference, journalist Karen Hao and researcher Paola Ricaurte posed the central question of today's AI debate: who decides the direction in which artificial intelligence develops, and in whose interests.

Who sets the course

The two speakers approached the topic from different angles but reached a similar conclusion: the trajectory of AI development is currently determined by an extremely narrow group of players. Mostly these are large US technology companies, which control both the infrastructure and the narrative around the technology.

Karen Hao is an investigative journalist known for her reporting on the inner workings of OpenAI and other leading AI labs. She has documented cases where stated public goals diverged from actual business decisions: which research gets funded, which topics are kept quiet, and who gets access to powerful tools. In her observation, the narrative of "AI for the benefit of humanity" often serves, above all, the interests of investors.

Paola Ricaurte, a professor at Tecnológico de Monterrey, studies how technologies from wealthy countries reproduce and amplify inequality in the Global South. Her research shows that countries in Latin America, Africa and Asia receive ready-made AI solutions with no ability to influence their parameters, yet bear all the risks of deployment.

Technology in the service of people

Both speakers insist that the right path for AI runs through widening the circle of those who take part in decision-making, not only as users but as participants in development. Concrete measures discussed at the conference:

• Involving local communities in the design and evaluation of AI systems from the start, rather than as a focus group after launch
• Transparency of data and training sets: who collected them, from whom, and with what consent
• Accounting for cultural, linguistic and economic diversity when developing models
• International regulatory mechanisms that prevent the monopolization of core infrastructure
• Support for public and non-profit AI initiatives as a counterweight to corporate dominance

The speakers' position is not to slow progress down but to redirect its vector: from technology for technology's sake to technology for people.

The gap between speed and oversight

A separate theme of the discussion was the growing gap between the pace of AI development and the speed at which mechanisms of public oversight are formed. These systems already operate in medicine, education, justice, hiring and lending, while regulators are only beginning to build tools of influence.

This gap is especially dangerous in the context of digital colonialism: a technology is created in one cultural and economic environment and deployed in a completely different one. Assumptions built into algorithms can discriminate against entire population groups, unnoticed by those who designed the system.

An additional complication is the asymmetry of knowledge. Companies that hold the data and computing power can assess the risks of their decisions. Most users cannot. This raises a question that goes beyond regulation: how responsibility is distributed within AI systems.

What this means

The MIT conference records an important shift: the global AI debate is ceasing to be purely technical. The question "what can we build?" is increasingly giving way to "for whom, and why?"

Karen Hao and Paola Ricaurte are among those consistently moving this conversation out of academic halls and into the public space. And the faster the technology develops, the sharper the question of who holds the wheel.