How can ethical and explainable AI help protect the most vulnerable in society today?

One unwelcome aspect of this pandemic is the increased exploitation of vulnerable people. Yet the application of technology and approaches in use elsewhere in the world can enhance our ability to, for example, safeguard children and the victims of domestic abuse, to intercept human trafficking, or protect vulnerable consumers.

SAS is investing over $1bn in AI development and SAS R&D in Glasgow are at the forefront of developing AI-powered solutions that can use high quality, consistent data to deliver real-time analysis in a responsible, safe fashion, for the good of the citizen and society.

In this session you will learn;

  • What is meant by ethical and explainable AI in the context of decision-making
  • How AI can provide automated decision support 
  • How AI can be used to identify threats of risk and harm
  • How AI can mean the difference between support and neglect, safety and tragedy, protection and failure

Join us today

  • Tue 01 Dec 2020
  • 11:00 - 11:30
  • 30m
  • Hugo D'Ulisse
  • Masterclass Sessions

Join the discussion on Twitter: #DigitalScotland @FutureScot_News

About the Speaker

Hugo D'Ulisse

Director, Public Sector Scotland - SAS UK

Hugo is passionate about the role data, analytics and technology has in accelerating data-driven innovation from Advanced Analytics, Artificial Intelligence and Machine Learning for civil and social benefit, particularly within Scotland, but also across the UK.
Hugo leads a team of specialists, working on a daily basis to simplify the process of turning data into actionable insight, improving outcomes and mitigating risks. He has rich and varied business background, including insurance broking, specialist underwriting and risk management, combining commercial acumen with an understanding of how technology delivers meaningful value.  He led the partnership with, and has established SAS within, the Bayes Centre, University of Edinburgh, and is also based at SAS R&D Glasgow.


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