Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice
<|reference_start|>Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice: Advances in artificial intelligence (AI) will transform many aspects of our lives and society, bringing immense opportunities but also posing significant risks and challenges. The next several decades may well be a turning point for humanity, comparable to the industrial revolution. We write to share a set of recommendations for moving forward from the perspective of the founder and leaders of the One Hundred Year Study on AI. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts to evaluate the immediate, longer-term, and far-reaching effects of AI on people and society, and to make recommendations about AI research, policy, and practice. As we witness new capabilities emerging from neural models, it is crucial that we engage in efforts to advance our scientific understanding of these models and their behaviors. We must address the impact of AI on people and society through technical, social, and sociotechnical lenses, incorporating insights from a diverse range of experts including voices from engineering, social, behavioral, and economic disciplines. By fostering dialogue, collaboration, and action among various stakeholders, we can strategically guide the development and deployment of AI in ways that maximize its potential for contributing to human flourishing. Despite the growing divide in the field between focusing on short-term versus long-term implications, we think both are of critical importance. As Alan Turing, one of the pioneers of AI, wrote in 1950, "We can only see a short distance ahead, but we can see plenty there that needs to be done." We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.<|reference_end|>
@article{horvitz2024now,,
    title={Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and
  Practice},
    author={Eric Horvitz, Vincent Conitzer, Sheila McIlraith, Peter Stone},
    journal={arXiv preprint arXiv:2404.04750},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.04750},
    primaryClass={cs.CY}
}