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Exploring the Dark Side of AI

Deep Dive into Generative AI Risks and Fraudulent Activities

Artificial Intelligence
Written by

Peter MacEwan

Published on

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2 min

Our ongoing “Deep Dives” series delves into crucial facets of burgeoning VC sectors with our extensive network of investing experts. In this segment, Alim Giga, Partner at Spike Ventures, leads an exploration into the potential and risks of generative AI, particularly its exploitation in fraudulent activities such as deepfakes. Additionally, the session spotlights pioneering companies addressing AI fraud prevention, emphasizing generative AI’s dual role in boosting productivity and posing risks.

Deep Dive: Generative AI & Consumer Content

Alim Giga, a Partner on the Spike Ventures team, scrutinizes the risks associated with generative AI in fraudulent activities, with a special focus on deepfakes. The conversation delves into AI’s capacity to fabricate convincing content, raising security concerns such as deceptive emails and counterfeit images. It underscores the urgency for sophisticated detection methods and regulatory frameworks to combat AI-driven fraud while proposing solutions like AI-powered fraud detection and transparent AI governance. Furthermore, the session showcases forward-thinking companies innovating in AI fraud prevention, underscoring generative AI’s complex duality in enhancing productivity and creating risks.

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In this Deep Dive, Alim discusses:

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    How generative AI, including deepfakes, can produce realistic content, raising concerns for security and privacy

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    How various fraudulent activities leveraging AI are explored, such as deceptive emails, counterfeit images, and synthetic voices

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    The increasing use of deepfake technology and its societal impacts, highlighting the necessity for advanced detection methods and regulatory measures

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    Proposed solutions include AI-driven fraud detection, synthetic data generation for better model training, and advocating for transparent AI governance

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    Notable companies innovating in AI fraud prevention are featured

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    The dual role of generative AI in both enhancing productivity and posing risks

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Written by

Peter MacEwan

Peter has startup experience in both the nonprofit and business sectors, a BA from Wesleyan University, and an MBA from The Wharton School. Peter developed expertise building teams and strategic planning in the San Francisco Bay Area, driving growth across multiple seed- and early-stage companies (with many nights spent as informal adviser to a network of entrepreneurs). Peter has a passion for social impact and loves working with people who love what they do and strive to get better at it.

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