AI & Big Data: Opportunities, risks, and ethical considerations

Within just a year of recent AI technology releases, such as ChatGPT, business professionals, students, and creatives have enthusiastically embraced these tools to boost productivity and reduce time to market. Very large sets of data have been with us for several years with companies using data analytics and data mining to extract insights in areas as diverse as mineral prospecting, online retailing and political campaigning.

The combination of AI and big data analytics promises even greater improvements in quality and productivity. One can easily imagine how smart AI algorithms working on big health datasets (e.g. from the Our Future Health initiative) could revolutionise how we diagnose disease.

However, these advancements are accompanied by ethical and legal risks. Many datasets contain personal data captured from activities like filling out online insurance forms or using fitness tracking devices. What constitutes 'fair' use of this data, and what is inappropriate or even ethical? If I use an AI tool to create new music, do I need to worry about copyright infringement?

We are thrilled to invite you to join our eminent panel to discuss these and many other issues:

• Lisa Talia Moretti, Digital Sociologist, AND Digital
• Dr. David Tarrant, Senior Learning Advisor, Open Data Institute
• Dr. Mininder Sethi, Associate Professor of Finance, Henley Business School

Following initial insights from each panellist, we will engage in a general roundtable discussion. There will be ample time for networking before and after the event. We would like to recognise and thank our Partner and host for this event, KPMG for the use of their offices and for sponsoring the refreshments.

Standard tickets are priced at £10, with all funds raised going to support Ethical Reading.

However, as a token of our appreciation for our valued partners and supporters, we are offering complimentary tickets to employees of our Partner organisations. If you are an employee of one of our Partners, please contact Joanna at [email protected] and mention your company to receive a promotion code for a free ticket.

Agenda

8:30am-9:00am: Arrive, get refreshments, network.

9:00am-9:50am: Core presentations followed by audience Q&A.

9:50am-10:00am: Summary and wrap-up

10:00am-10:30am: Networking

About our speakers

Lisa Talia Moretti - Digital Sociologist, AND Digital

Lisa Talia Moretti is an award-winning Digital Sociologist and tech ethics activist based in the UK. She is currently a Research Fellow on the data program at The GovLab, New York University. For more than a decade, Lisa has researched and written about the relationship between technology, information and social life. Her scholarship specifically explores the impact, opportunities and challenges that emerging technologies, and their data inputs and outputs, have on society.

Dr. David Tarrant - Senior Learning Advisor, Open Data Institute

As principal technical consultant and senior learning advisor at the Open Data Institute, David is responsible for the strategic direction of data literacy. This includes leading research to identify gaps in data literacy, the development of new learning experiences and delivering new data literacy products at scale.

Since joining the ODI, David has introduced educational content that has helped transform governments and unlock over $15m for startups.

Most recently, David has spearheaded the delivery of a new programme aimed at certifying a network of Data Ethics Professionals and Facilitators. David has applied his data science skills to build policy making tools for open data leaders and leading projects on responsible AI application at the intersection of AI, data and data literacy.

Before joining the ODI, David was a lecturer in the Web and Internet Science Group at the University of Southampton leading courses on open data and innovation.

Dr. Mininder Sethi - Associate Professor of Finance, Henley Business School

Dr Mininder Sethi is an Associate Professor of Finance and the Undergraduate Examinations Officer at the ICMA Centre at Henley Business School. Mininder had been a sessional lecturer at the ICMA Centre since 2019 and joined the ICMA Centre full time in July 2023.

Mininder had worked in the financial services sector since 2003 holding roles as a front office quantitative analyst, derivatives trader and financial engineer at organisations including ABN Amro Bank and Bloomberg in Hong Kong and in London. Mininder had been employed by Citibank since 2015 and in his most recent role there he co-founded and then managed a front office data science solutions team based in Singapore. Mininder holds a PhD in Statistical Signal Processing from Imperial College London and a second PhD in Computational Finance from University College London.

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