Skip to main content
Home/Risks/Saghiri et al. (2022)/Cheating and Deception

Cheating and Deception

A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions

Saghiri et al. (2022)

Category
Risk Domain

AI systems that develop, access, or are provided with capabilities that increase their potential to cause mass harm through deception, weapons development and acquisition, persuasion and manipulation, political strategy, cyber-offense, AI development, situational awareness, and self-proliferation. These capabilities may cause mass harm due to malicious human actors, misaligned AI systems, or failure in the AI system.

may appear from intelligent agents such as HLI-based agents... Since HLI-based agents are going to mimic the behavior of humans, they may learn these behaviors accidentally from human-generated data. It should be noted that deception and cheating maybe appear in the behavior of every computer agent because the agent only focuses on optimizing some predefined objective functions, and the mentioned behavior may lead to optimizing the objective functions without any intention

Other risks from Saghiri et al. (2022) (15)