Explore the underbelly of cutting-edge technology in "The Dark Side of GenAI," a comprehensive examination of the risks and challenges posed by generative artificial intelligence. This enlightening book delves into the myriad ways GenAI systems can be misused, offering an in-depth look at the tactics employed to exploit these advanced models and the profound implications for society.
In "The Dark Side of GenAI," you will uncover the types of GenAI misuse tactics, categorized into two primary areas: exploitation of GenAI capabilities and compromise of GenAI systems. The book details how bad actors use tactics such as impersonation, appropriated likeness, sockpuppeting, non-consensual intimate imagery (NCII), child sexual abuse material (CSAM), falsification, intellectual property infringement, counterfeit, scaling & amplification, and targeting & personalization. It also explores how GenAI systems themselves can be compromised through adversarial inputs, prompt injections, jailbreaking, model diversion, model extraction, steganography, poisoning, privacy compromise, and data exfiltration.
The findings presented in this book reveal the prevalence and modalities of misuse tactics, with a particular focus on the manipulation of human likeness. Key goals behind GenAI misuse are examined, including opinion manipulation, monetization, scams, harassment, and maximizing reach. The book highlights novel strategies used to achieve these goals, such as disinformation, defamation, and content farming. By providing real-world examples and empirical data, the book illustrates the wide-ranging impacts of GenAI misuse on individuals and society.
"The Dark Side of GenAI" also delves into the critical analysis of misuse goals, exploring how actors leverage GenAI for opinion manipulation through tactics like impersonation of public figures and falsified media, monetization through content farming and NCII, scams involving celebrity scam ads and phishing, and harassment with a gendered focus on non-consensual intimate imagery targeting females. Additionally, the book discusses the emerging trend of digital resurrections used to maximize message reach and advocacy efforts.
In its concluding discussion, "The Dark Side of GenAI" emphasizes the importance of understanding and mitigating the misuse of GenAI tools. It provides essential recommendations for policy makers, trust and safety teams, and researchers on AI governance and mitigation strategies. By shedding light on the ethical and safety implications of GenAI misuse, this book serves as a vital resource for anyone concerned with the responsible development and deployment of artificial intelligence.