Posts

Showing posts with the label cognitive bias

Understanding Prompt Injections: A New Challenge in AI and Human Cognition

Image
Prompt injections involve intentional alterations in the input provided to AI systems, designed to change the AI's expected responses or actions. These inputs may bypass safeguards, expose confidential data, or lead to erratic AI behavior. As AI's role in human communication and decision-making grows, understanding these manipulations gains importance. TL;DR Prompt injections are crafted inputs that can manipulate AI responses, affecting reliability. They disrupt the cognitive interaction between humans and AI, influencing trust and understanding. Mitigation involves improving AI training, detection, and combining automation with human oversight. What Prompt Injections Entail These manipulations exploit the AI’s dependence on input text to guide its output. Attackers insert commands or misleading elements hidden within normal-looking input, prompting unintended AI actions. The subtlety of language models makes predicting or blocking these ...

Evaluating Safety Measures in Advanced AI: The Case of GPT-4o

Image
Artificial intelligence models like GPT-4o present both opportunities and challenges. This article reviews the safety measures applied before GPT-4o’s release, focusing on understanding risks to human cognition and behavior and approaches to mitigate these risks. AI safety is important to minimize potential harm to users and society. TL;DR External red teaming involves experts probing GPT-4o for safety vulnerabilities and harmful behaviors. Frontier risk evaluations use frameworks to assess serious AI risks and societal preparedness. Mitigations are designed and tested to reduce risks related to misinformation and negative human impact. External Red Teaming as a Safety Experiment External red teaming is a method where independent experts test GPT-4o for potential weaknesses or risks. These tests simulate various scenarios to identify if the AI might produce harmful outputs or misinformation. This experimental approach helps reveal limitations and ...