deepfakes

Audiovisual content produced or manipulated by artificial intelligence that realistically impersonates, fabricates or represents a real person in a way that can deceive observers. The term is defined to capture AI-enabled impersonation used in crimes such as sexual exploitation, defamation, fraud or other offenses where enhanced culpability may apply.

A subset of AI-generated multimedia in which a person's likeness, face, voice or other biometric attributes are falsified, superimposed or synthesized to create realistic but fabricated content intended to impersonate or misrepresent that person; identified in the proposal as an explicit example of AI-enabled tools that can aggravate underlying offences.

Audiovisual falsifications produced or assisted by algorithmic techniques that fabricate or alter images, audio, or video to misrepresent real persons or events, often used to cause reputational harm, sexual exploitation, or fraud as contemplated by the penal amendments.

AI-generated or AI-manipulated audio, visual, or audiovisual content that falsely depicts real persons saying or doing things they did not actually say or do, or that misrepresents events that did not occur, where the intent or likely effect is to deceive viewers about the content's authenticity. This includes synthetic media that distorts the substance or context of true statements to create misleading impressions.

Media content that has been created or materially altered using AI/ML techniques to replace or synthesize human faces, voices, or entire scenes, producing realistic but fabricated audiovisual material. The Guide treats deepfakes as dual‑use technologies with both legitimate applications and malicious risks, and emphasizes that detection must evolve as generative capabilities improve.

AI-generated content that manipulates or synthesizes visual or audio data to create realistic but fabricated media, often involving the likeness of individuals. The bill aims to safeguard minors from harmful AI-generated content, including deepfakes.

Deepfakes are highly realistic but fabricated or manipulated digital media, including images, audio, and video, created using artificial intelligence techniques. The report examines their impact on trial evidence and the adequacy of current evidentiary rules.

Deepfakes are a type of synthetic media, often created using artificial intelligence, that can realistically portray individuals saying or doing things they never did, posing a significant challenge to information integrity in political advertising.

A colloquial term for synthetic media, particularly audio or video, that has been manipulated or generated using AI to depict individuals saying or doing things they did not.

Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. This is typically achieved through sophisticated AI techniques, raising concerns about misinformation and reputational damage.

A specific type of digital forgery, typically referring to synthetic media in which a person in an existing image or video is replaced with someone else's likeness using artificial intelligence.

Deepfakes refer to highly realistic synthetic media, including images, audio, and video, generated by artificial intelligence, specifically deep learning algorithms. These fakes are often used to manipulate or fabricate content, impersonate individuals, or spread misinformation, posing significant risks in areas like financial fraud and national security.