Generative AI models are trained on vast datasets to create new content like images, music, and code from user prompts.
AI models can provide incorrect or outdated information and even "hallucinate" facts due to their training data and susceptibility to being tricked.
Prompt injection is a security vulnerability where malicious user input can manipulate a model's output, similar to SQL injection attacks.
Determining who is responsible for AI-generated content, such as prize-winning art or offensive jokes, raises complex legal and ethical questions.
AI models can perpetuate and amplify societal biases present in their training data, leading to stereotypical or discriminatory outputs.
Generative AI can be exploited for illegal activities like creating non-consensual deepfake pornography, spreading fake news, and perpetrating scams.
Governments are introducing regulations like the EU AI Act to mitigate risks, while a growing focus on AI ethics aims to guide responsible development.
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Jobs that call for the skills explored in this talk.
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