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title author date abstract venue transition
AI needs to serve people, science, and society
family given gscholar institute twitter url
Lawrence
Neil D.
r3SJcvoAAAAJ
University of Cambridge
lawrennd
given family
Jessica
Montgomery
2023-03-14
Artificial intelligence offers great promise, but we must ensure it does not deepen inequalities. Today we are setting out our vision for AI@Cam, a new flagship mission at the University of Cambridge.
5th Public Sector Innovation Conference
None

\include{_ai/includes/henry-ford-intro.md}

\notes{In Greek mythology, Panacea was the goddess of the universal remedy. One consequence of the pervasive potential of AI is that it is positioned, like Panacea, as the purveyor of a universal solution. Whether it is overcoming industry’s productivity challenges, or as a salve for strained public sector services, or a remedy for pressing global challenges in sustainable development, AI is presented as an elixir to resolve society’s problems.

In practice, translation of AI technology into practical benefit is not simple. Moreover, a growing body of evidence shows that risks and benefits from AI innovations are unevenly distributed across society.

When carelessly deployed, AI risks exacerbating existing social and economic inequalities.}

\include{_ai/includes/cuneiform.md} \include{_policy/includes/coin-pusher.md} \include{_ml/includes/rs-report-machine-learning.md} \include{_ml/includes/rs-report-mori-poll-art.md} \include{_ml/includes/chat-gpt-mercutio.md} \include{_physics/includes/d-day-weather.md}

\include{_books/includes/a-question-of-trust.md}

\include{_ai/includes/naca-proving.md}

\notes{Innovating to serve science and society requires a pipeline of interventions. As well as advances in the technical capabilities of AI technologies, engineering knowhow is required to safely deploy and monitor those solutions in practice. Regulatory frameworks need to adapt to ensure trustworthy use of these technologies. Aligning technology development with public interests demands effective stakeholder engagement to bring diverse voices and expertise into technology design.}

\notes{Building this pipeline will take coordination across research, engineering, policy and practice. It also requires action to address the digital divides that influence who benefits from AI advances. These include digital divides within the socioeconomic strata that need to be overcome – AI must not exacerbate existing equalities or create new ones. In addressing these challenges, we can be hindered by divides that exist between traditional academic disciplines. We need to develop common understanding of the problems and a shared knowledge of possible solutions.}

\notes{\subsection{Making AI equitable}}

\notes{AI@Cam is a new flagship University mission that seeks to address these challenges. It recognises that development of safe and effective AI-enabled innovations requires this mix of expertise from across research domains, businesses, policy-makers, civill society, and from affected communities. AI@Cam is setting out a vision for AI-enabled innovation that benefits science, citizens and society.

This vision will be achieved through leveraging the University’s vibrant interdisciplinary research community. AI@Cam will form partnerships between researchers, practitioners, and affected communities that embed equity and inclusion. It will develop new platforms for innovation and knowledge transfer. It will deliver innovative interdisciplinary teaching and learning for students, researchers, and professionals. It will build strong connections between the University and national AI priorities.

The University operates as both an engine of AI-enabled innovation and steward of those innovations.

AI is not a universal remedy. It is a set of tools, techniques and practices that correctly deployed can be leveraged to deliver societal benefit and mitigate social harm.

In that sense AI@Cam’s mission is close in spirit to that of Panacea’s elder sister Hygeia. It is focussed on building and maintaining the hygiene of a robust and equitable AI research ecosystem.}

\include{_ai/includes/p-n-fairness.md}

\include{_ai/includes/the-great-ai-fallacy.md}

\include{_accelerate/includes/accelerate-programme.md}

\notes{\include{_governance/includes/data-trusts.md}} \include{_governance/includes/data-trusts-initiative.md}

\include{_ai/includes/ai-at-cam.md}

\thanks

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