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AI for Good Global Summit

The Evolution of Fraud


The Evolution of Fraud: Ethical Implications in the Age of Large-Scale Data Breaches and Widespread Artificial Intelligence Solutions Deployment


Artificial intelligence is being rapidly deployed in all contexts of our lives, often in subtle yet behavior nudging ways. At the same time, the pace of development of new techniques and research advancements is only quickening as research and industry labs across the world leverage the emerging talent and interest of communities across the globe. With the inevitable digitization of our lives, increasingly sophisticated and ever larger data security breaches in the past few years, we are in an era where privacy and identity ownership are becoming a relic of the past. In this paper, we will explore how large-scale data breaches, coupled with sophisticated deep learning techniques, will create a new class of fraud mechanisms allowing perpetrators to deploy “Identity Theft 2.0”.


 Artificial intelligence, data privacy, data security, ethics, fraud


Abhishek Gupta
(District 3, Concordia University, Montreal, Canada)

Abhishek Gupta is an AI Ethics Researcher based out of District 3, Concordia University and McGill University in Montreal, Canada. His research focuses on practical ways to address ethical concerns in deploying AI solutions in different industries. One of the areas of research with District 3 is examining the labor impacts of AI-enabled automation in the financial services industry in Canada and making recommendations on retraining the existing workforce, altering curricula to better equip the upcoming workforce amongst others. At McGill University, he is building a curriculum via a 4-part workshop series to introduce the topic of the ethical development of AI to students, faculty, staff and alumni of the McGill community with plans to extend this to other universities within the Quebec and Canadian ecosystem.

In collaboration with other researchers, he is also researching the technical and process improvements required to ensure reproducibility in results from AI research and deployment which will be crucial in our ability to audit AI systems. He actively works with scholars from domains that will be impacted by integrating AI into their work.

He is the founder of the AI Ethics community in Montreal that has over 500 members coming from diverse backgrounds including AI, law, sociology, bioethics, neuroscience, policy-making, business, etc. that meet once every two weeks to discuss different aspects of the ethical development of AI and offer public consultations to initiatives across the world. More information can be found on