AI Deception and Multi-Modality

AI deception refers to the use of artificial intelligence systems in a way that intentionally misleads or deceives users. This can occur in various forms and contexts.

Here are some key aspects (written and created by AI!):

1. Purposeful Misinformation
2. Behavioral Manipulation
3. Impersonation and Deepfakes
4. Lack of Transparency: Security and Privacy Concerns
5. Ethical and Moral Concerns
6. Regulatory and Legal Challenges

It’s important for developers, users, and policymakers to be aware of the potential for AI deception and to take steps to mitigate its risks, including promoting transparency, ethical AI practices, and robust legal frameworks.

Attendees of this webinar can expect a comprehensive dive into both the promising advancements and the challenging ethical landscapes of modern AI, particularly in the realms of deception and multi-modality.