Integration of AI Tools Into Your Research

Founded in 2017, the AI Now Institute produces diagnosis and policy research on artificial intelligence. They develop policy strategies to redirect away from the current trajectory: unbridled commercial surveillance, consolidation of power in very few companies, and a lack of public accountability. In the years since its founding, AI Now has set the bar for discourse-shaping work that focuses on the social consequences of AI and the industry behind it.

Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society. By convening diverse, international stakeholders, they seek to pool collective wisdom to make change. We are not a trade group or advocacy organization. PAI develops tools, recommendations, and other resources by inviting voices from across the AI community and beyond to share insights that can be synthesized into actionable guidance. We then work to drive adoption in practice, inform public policy, and advance public understanding. Through dialogue, research, and education, PAI is addressing the most important and difficult questions concerning the future of AI.

The Alan Turing Institute (ATI), headquartered in the British Library, London, was created as the National Institute for Data Science in 2015. In 2017, as a result of a government recommendation, they added artificial intelligence to their remit.  ATI has three major goals:
1. Advancing world-class research and applying it to national and global challenges: innovate and develop world-class research in data science and artificial intelligence that supports next-generation theoretical developments and is applied to real-world problems, generating the creation of new businesses, services, and jobs.
2. Build skills for the future: contribute to training people across sectors and career stages with the necessary breadth and depth of technical and professional skills in data science and AI to match the UK’s growing industrial and societal needs.
3. Drive an informed public conversation: provide balance in the public conversation on data science and AI by speaking to its technical, social, and ethical dimensions through public engagement and the provision of advice to policymakers, industry, and civil society.