Seventy years after artificial intelligence emerged as a distinct area of scientific research, the debate surrounding the technology is increasingly moving beyond what machines can accomplish to consider how their capabilities should be developed and used.

This question shaped a major conference at Dartmouth College in Hanover, New Hampshire, titled "AI at 70: What Must Remain Human?" The gathering brought together technology executives, academic researchers, policymakers, industry specialists and critics to examine the future direction of artificial intelligence and its relationship with society.

The event marked the anniversary of the 1956 summer research workshop held at Dartmouth, which played a foundational role in establishing artificial intelligence as a field of research. The university's historical connection to the technology gave the conference an opportunity to reflect on the distance between its early scientific ambitions and today's rapidly expanding applications.

One of the notable participants was Mira Murati, co-founder and chief executive of Thinking Machines Lab and former OpenAI executive. In a keynote discussion with Dartmouth President Sian Leah Beilock, she addressed the development of customizable AI systems and the importance of understanding how individuals interact with increasingly advanced technologies.

The conversation examined the relationship between system design and practical use, highlighting how adaptable AI tools can broaden their applications while also creating questions about misuse and the need for appropriate protections.

A central theme was the importance of maintaining human interests in the development process. As AI systems become more capable, questions of responsibility, decision-making and the limits of automated processes become increasingly significant.

The conference also explored the wider consequences of AI adoption, particularly its potential influence on employment, education and the ways people communicate and interact with digital systems.

The choice of Dartmouth as the venue was especially meaningful. The university hosted the landmark 1956 workshop that helped shape the field, making the anniversary a moment to assess not only technological achievements but also the responsibilities that accompany them.

The discussions reflected a changing understanding of technological progress. The next stage of AI development will not be measured solely by processing power or the complexity of applications, but also by the ability to ensure that innovation supports human creativity, preserves meaningful decision-making and operates within safeguards that serve society.