Skip to content

About NIARR

AI risk & resilience timeline

Reviving the spirit of Dartmouth

In 1956, the Dartmouth Summer Research Project brought together researchers from different intellectual backgrounds, helping establish artificial intelligence as a field of research.

The project demonstrated something that remains relevant today. Complex challenges benefit from people with different knowledge, perspectives and expertise working together.

Seventy years later, artificial intelligence has moved far beyond research laboratories and into almost every aspect of society.

Yet the communities responsible for developing, financing, governing and securing AI, as well as studying its wider consequences, often remain separated.

NIARR draws inspiration from the interdisciplinary spirit of Dartmouth, with the intention of renewing that spirit for the challenges we face today.

We want to create a shared space where disciplines and ecosystems meet, where the opportunities and risks of AI can be examined from different perspectives, and where knowledge can lead to informed decisions and practical cooperation.

  1. 1956

    AI is born

    The Dartmouth Summer Research Project established artificial intelligence as a scientific discipline. Seventy years later, AI systems can conduct research, write software and execute complex tasks with limited human intervention.

  2. 1973

    Sweden pioneers data protection

    Sweden introduced the world’s first comprehensive national data protection law, setting an international precedent for protecting personal information and fundamental rights in the digital age.

  3. 2024

    EU AI Act

    The European Union’s AI Act entered into force on 1 August 2024, introducing a comprehensive risk-based framework for artificial intelligence.

    Its phased implementation established new obligations concerning high-risk systems, transparency, safety and fundamental rights.

  4. 2026

    The next industrial revolution?

    AI is moving beyond assisting humans to autonomously performing complex cognitive tasks, from software development and research to business operations and decision-making.

    The implications could rival previous industrial revolutions, transforming employment, productivity, economic power and the organisation of society.

    The defining question is no longer what AI can do, but whether our institutions, economies and societies are prepared for what comes next.

2026 so far

Start a conversation.

We welcome conversations with researchers, institutions and practitioners who share these questions.