Neil Lawrence appointed Senior Turing AI Fellow
The Alan Turing Institute names Neil among the first five Turing AI Fellows. His five-year Senior Fellowship funds the AutoAI programme on deploying and monitoring machine learning systems.
AutoAI strategic research agenda published
7 June 2022
AutoAI strategic research agenda published
7 June 2022
On 7 June 2022 the AutoAI research team published Machine Learning from Innovation to Deployment: A Strategic Research Agenda for AutoAI. The PDF is at mlatcl.github.io/papers/autoai-sra.pdf.
The agenda addresses the gap between aspiration for AI and the many failed attempts to deploy it: data management, model performance, user experience, and new forms of technical and intellectual debt as systems grow more complex. AutoAI proposes AI-assisted techniques for system design, monitoring and maintenance — connecting machine learning research to software architecture, data-oriented infrastructure, and the organisational and policy conditions for trustworthy adoption.
The document is the roadmap for Neil’s Senior Turing AI Fellowship programme at Cambridge. Named contributors on the publication page include Andrei Paleyes, Carl Henrik Ek, Christian Cabrera, Eric Meissner, Jessica Montgomery, Mala Virdee, Markus Kaiser, Pierre Thodoroff and Neil Lawrence. Background is on the AutoAI project page.
Related People
Neil D. Lawrence
The DeepMind Professor of Machine Learning, Cambridge University
Jess Montgomery
Director, ai@cam and Accelerate Science, Cambridge University
Andrei Paleyes
Visiting Researcher, Cambridge University
Christian Cabrera Jojoa
Assistant Research Professor, Cambridge University
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