Join your peers on 24th June 2021, where we’ll explore the implications, risks and considerations for successful and scalable AI development and deployment for the financial sector
AI is already replacing humans in fraud detection, risk management, trading, lending and investment advice – with pressures on the sector to cut costs, this is of course only set to rise. As a result, the rapidly growing capabilities and increasing presence of AI-based systems in our lives raise pressing questions about the impact, governance, ethics, and accountability of these technologies around the world. On top of this, consumers are increasingly mindful of the security of their data and how it is being used, and institutions are aware that new capabilities can also create new potential liabilities.
Advances in data science and artificial intelligence are transforming business practices across the financial sector. Relevant technological developments and their applications in banking, insurance, lending and asset management promise significant benefits to firms, consumers, and society at large, but also give rise to a wide range of ethical questions and concerns, including issues of regulatory importance. There is also growing interesting in the ethical use of AI and challenges for financial institutions over how to operationalise guidelines that have been developed so far and also which function of the business should ‘own’ such a project.
So how do we manage the associated ethical risks, challenges and governance implications present by AI development and deployment within an international, dynamic and fast-moving financial sector?
Andre Burgess manages Strategic Partnerships in the Digital Sector at National Physical Laboratory where the focus is on delivering confidence in the intelligent and effective use of data. Andre has led the creation of NPL’s Assured Autonomy Programme, which brings together disciplines across Data Science, Time and Frequency, Electro-Magnetic Technologies, and Dimensional Metrology.
His work on Self-Driving Cars has focused on building collaborations across the UK’s CAV sector to establish an integrated digital measurement infrastructure and technical framework to underpin the simulated testing ecosystems for autonomous vehicles at all Technology Readiness Levels. Andre has over 20 years of experience in the TMT sector having worked across Tier 1 Telecoms operators as well as setting up an international digital services company and supporting the launch of several start-ups.
Charles Radclyffe is a serial entrepreneur who has focused his career on solving tough technology challenges for some of the world’s largest organisations.
A self-confessed ‘geek’ at heart, Charles combines his technical fluency with his business nous to really get to grips with how best to conceive, design, build and implement solutions which can unlock transformative business value.
In addition to providing advisory services to clients, Charles has built and sold three technology companies so far in his career, and in his spare time passionately supports and mentors young entrepreneurs and start-up teams.
Past roles include Head of Technology at Deutsche Bank Labs in London and Associate Partner at Elixirr. He was until recently Head of AI at Fidelity International.
Charles is currently a Forbes contributing writer and is a Visiting Fellow of the University of Bristol.
He is an experienced public speaker having presented at various events in the UK, US, and the Middle East on the philosophical questions around Smart Devices, Data Science, and Artificial Intelligence industry and the societal impact of the application of this technology.
Charles holds an MA in Law from Cambridge, and his hobbies include golf, motorsport, science fiction and early modern history.
Darrell M. West is the Vice President and Senior Fellow of Governance Studies at the Brookings Institution. He holds the Douglas Dillon Chair in Governance Studies. Previously, he was the John Hazen White Professor of Political Science and Public Policy and Director of the Taubman Center for Public Policy at Brown University. His current research focuses on American politics, technology policy, and artificial intelligence.
West is the author of 25 books including Turning Point: Policymaking in the Era of Artificial Intelligence (Brookings, 2020; with John Allen), Divided Politics, Divided Nation: Hyperconflict in the Trump Era (Brookings, 2019), The Future of Work: Robots, AI, and Automation (Brookings, 2018); Megachange: Economic Disruption, Political Upheaval, and Social Strife in the 21st Century (Brookings, 2016), Billionaires: Reflections on the Upper Crust (Brookings, 2014), Digital Schools (Brookings, 2012), The Next Wave: Using Digital Technology to Further Social and Political Innovation (Brookings, 2011), Brain Gain: Rethinking U.S. Immigration Policy (Brookings, 2010), Digital Medicine: Health Care in the Internet Era (Brookings, 2009), Digital Government: Technology and Public Sector Performance, (Princeton University Press, 2005), and Air Wars: Television Advertising in Election Campaigns (Congressional Quarterly Press, 2013), among others.
He is the winner of the American Political Science Association’s Don K. Price award for best book on technology (for Digital Government) and the American Political Science Association’s Doris Graber award for best book on political communications (for Cross Talk). His books have been translated into Chinese, Japanese, and Korean, and he has delivered lectures in numerous countries around the world.
Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won’t be able to understand them. He currently works at Starling Bank as their Chief Technology Advocate and host of the Starling podcast.
Jeremy Ernst is a computer science professional interested in various areas within software development and information technology, with a focus on Data Science and Deep Learning. Jeremy is proficient in using automation to solve increasingly complex problems that are more pressing.
Madeline Bennett has been a technology journalist and commentator since 2000, covering everything from enterprise applications and FinTech to digital transformation.
Ronald joined Allan Gray (Cape Town, South Africa) straight out of university, joining a newly formed team with the aim of growing the Data Science (DS) capability within the company. He completed his post-graduate studies in Mechanical Engineering at the Centre for Asset Integrity Management (UP); researching the use of blade tip timing techniques to identify and classify turbomachine blade damage. Interestingly, many of the techniques used in his research were transferable to the FinTech space, thus demonstrating the flexibility in application of popular methodologies across industries. Ronald remains an avid learner and is excited to see how businesses continue to unlock value using innovative DS related solutions.
Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.
Teuta Mercado leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Prior to leading the Responsible AI program, Teuta spent almost a decade in Compliance, mostly within the financial services industry, providing guidance and oversight on various regulations, policies, and practices.
Nitesh Soni is data science and AI leader with 13+ years of blended experience across different industries such as FSI, Public, HR and scientific research. Nitesh has a track record of leading impactful business engagements successfully by applying in-depth data science & AI knowledge and executing projects in a rapid lab and agile environment.
Nitesh Soni possess a solid experience of creating business proposals and has a strong capability of bridging a gap between business, AI and technology
Gain official CPD accreditation certification to put towards your professional career development training inventory.
Transform Finance is proud to deliver this certification in collaboration with
Job Titles & Functions aimed at VP, Directors, Chief Ethics Officer, ethics committees and technical and specialists from firms across all industries in the financial sector who are involved in the design, production, and deployment of an AI project including VP, Director, Heads of:
Organisations in attendance include: Asset management, retail banking, lending and credit cards, payments, investment banking, insurance and fin techs. This event is a global event and will attract an audience from EMEA, UK and North America.
At the AI Ethics & Governance in Finance virtual event not only will you learn about which technologies and best practices to incorporate into current projects, but you will establish unique ways to revamp products and expand your capabilities. In addition to personal and professional development, you can guide your organisation and make your business smarter and more connected, by understanding how leading companies are utilising and implementing compliance, risk and governance solutions.
Business Benefits:
Personal Benefits:
This virtual event offers many ways to connect with new customers within our 70k+ community through sponsorship and digital media programmes.
Click on the below image to download the media kit to discover more about our audience and ways to get involved.
