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Centre for Assuring Autonomy
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Safe AI and Autonomous Systems Training

Comprehensive, industry-ready training and education for those working at the forefront of AI, autonomous systems and robotics technologies.  

As AI and autonomous technologies continue to advance, the need for training founded in evidence-based research around such systems becomes even more important. 

Our training programme centres on sharing what we've learned through our research and innovation projects with academics and industry partners to help attendees develop their expertise around AI, robotics and autonomous systems. Our training has helped software developers, safety engineers, senior leaders and regulators in organisations such as the NHS, Health and Safety Executive (HSE), RSSB, and Department for Transport (DfT).

The guidance produced by CfAA informs our educational activities and extends current Systems Engineering (SE) and System Safety Engineering (SSE) practice across industrial domains such as defence, transport and medical. The Department of Computer Science also offers a range of Continuing Professional Development courses in SSE, and a part time MSc in Safety-Critical Systems. Details are provided via the highlighted links.  These courses can also form the basis of tailored courses. If you are interested in a course in SSE or SCSE please contact Dr Mark Nicholson. 

Industry training for AI and autonomy

AI and autonomy are significant disruptors to the way that an organisation works, what it means for systems, services and products to be safe and secure, and how these safety properties can be assured in practice. Our bespoke training addresses:

  • How to undertake responsible innovation incorporating safety & ethical considerations.
  • How to provide technical arguments and evidence for properties of autonomy or AI.
  • How to assure hybrid teams comprising humans and AI / autonomous systems.

Contact Dr Mark Nicholson for more information

Safe AI training for regulators and policy makers

AI and autonomy might offer significant safety gains, however they also challenge existing safety mitigations in complex environments because of their reliance on machine decision making. Our collaborative work to support new policies, regulations and standards means we can provide formative training on AI and autonomy:

  • Framing roadmaps for acceptable Responsible Innovation, incorporating safety & ethical considerations
  • Framing regulation and guidance for developers to provide credible technical arguments and evidence
  • Reviewing proposals for approval to introduce AI and autonomy

Contact Dr Mark Nicholson for more information