Deepfakes utilize advanced machine learning techniques, particularly generative adversarial networks (GANs), to create highly realistic but fabricated audio and video content. This technology poses significant ethical and security challenges, as it can be used for misinformation, identity theft, and undermining trust in digital media.

Deepfakes

Advanced machine learning techniques

Generative Adversarial Networks (GANs)

Realistic audio and video content

Ethical Challenges

Security Challenges

Misinformation refers to false or misleading information spread regardless of intent to deceive, often exacerbated by digital platforms and social media. It poses significant challenges to public understanding and decision-making, necessitating critical thinking and media literacy to mitigate its effects.

Misinformation

Identity theft occurs when someone unlawfully obtains and uses another person's personal data, typically for financial gain or to commit fraud. It can have severe consequences for victims, including financial loss and damage to their credit reputation.

Concepts

Relevant Degrees

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