On-Demand Webinar

Ethical and Fair Artificial intelligence in Government
Five Key Considerations

 

About the webinar

It can’t have escaped your attention the recent press coverage regarding the fairness of algorithmic decision making, affecting everything from student grades to face recognition. It demonstrates how important it is for Governments to make decisions at a scale that have real and positive impacts on citizens in their daily lives. Despite the scale, the decisions not only have to be fair and ethical but also, critically, seen to be fair and ethical.

Join Chief Privacy Strategist and Data Scientist from SAS to discuss how you can ensure your projects are delivering with ethical and fairness mindset. They will share their thoughts and experience.

What will be discussed:

  • What is meant by fairness and ethics in the context of AI decision making.
  • Our experience with public sector organisations from around the world.
  • What other considerations should we take into account?
  • What guidance is available to practitioners in this area?

During the session, we will run a number of polls and will share our results and findings of fairness and ethics in AI projects.

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About the Experts


Kalliopi Spyridaki
Chief Privacy Strategist
Europe & Asia Pacific, SAS

Kalliopi Spyridaki is Chief Privacy Strategist at SAS, the leader in data analytics. She joined SAS in 2007. In her role today, Kalliopi focuses on public policy and privacy compliance in Europe and the Asia Pacific. 

Kalliopi works with regulators and policymakers to help shape laws and government policies related to data and artificial intelligence that impact SAS and its customers. She also assists with SAS’s privacy compliance program aiming to ensure that SAS remains at the forefront of global privacy requirements.

She feels the most intriguing part of her work is striving to bridge the gaps between the making of a law, its implementation and the rapid pace of technology evolution with its transformative power for business and our society. Kalliopi has lived in Brussels since 2002. She speaks four languages and is a member of the Athens Bar Association.


Colin Gray
Data Scientist
Public Sector, SAS UK&I

Colin graduated in Mathematical Sciences with 1st Class Honours. He started his career training to be an actuary and holds a Certificate of Actuarial Techniques, and is a Chartered Statistician. Since moving to SAS, he has concentrated on the detection and prevention of fraud through the use of Analytics across multiple industries including detection of insider trading on behalf of a regulator, credit and debit card fraud for a high street bank and fraud at a large telco provider. He has two children, a dog, a cat and loves to travel, but this has been rather restricted this year.

Colin has also authored a number of articles on fairness: https://blogs.sas.com/content/author/colingray/


Dr Galina Andreeva
PhD (Edinburgh, UK)
MSc in Operational Research & Management Science (Edinburgh, UK)
MA (Russia)

Galina currently holds a position of Senior Lecturer (equivalent to Associate Professor) in Management Science at the University of Edinburgh Business School. Previously she worked at Bank of Scotland and held the prestigious ESRC post-doctoral fellowship. She was a Visiting Scholar at NYU Stern Business School and University Milano-Bicocca.

She published in top academic journals - Risk Analysis: An International Journal, European Journal of Operational Research, Journal of Financial Stability, Financial Accountability and Management, Expert Systems with Applications.

Her research evolves around credit risk of individuals and small businesses (SMEs) using advanced statistical and machine-learning techniques. An area of specific focus is fairness and discrimination, in particular in credit markets. Her latest research in this field is illustrated by the recent paper in the Journal of the Royal Statistical Society - ‘The Law of Equal Opportunities or Unintended Consequences: the impact of unisex risk assessment in consumer credit’.

Additional research interests include:

  • Small business survival and performance, affordability and risk modelling
  • Alternative finance, fintech and improving access to credit
  • New types of information in credit risk assessment
  • Psychology of credit behaviour
  • National and international differences in risk profiles
  • Profit scoring.

About the Host


Caroline Payne
Technical Director, Public Sector
SAS UK 

Self-confessed geek and working mum, Caroline has 25+ years’ experience working in the data, analytics and technology space. Passionate about how data & insights can make all our lives a better, safer place – following a few years working in the B2B data and insight space, Caroline has spent the last 20 years working for SAS who help organisations (large and small) across all sectors to gain intelligence from their vast sources of data and then deploy these insights to help make the world a better place.

Caroline leads a team of domain and technical experts who work with UK government agencies to advise on the use of technologies such as AI to drive better service delivery and outcomes for all citizens. Read more at https://www.sas.com/uk/gov

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