Mapping the misuse of generative AI
Analyzes nearly 200 media reports of real-world generative AI misuse (2023–2024), categorizing exploitation tactics and compromise patterns to inform safety evaluations and mitigations.
Research / Sources
Google DeepMind Safety Research
Safety research from Google DeepMind. deepmindsafetyresearch.medium.com
Responsibility & Safety (19)ai (1)ai-assistance (1)ai-training (1)alignment-problem (1)amplified-oversight (1)complementarity (1)google-gemini (1)hybridization (1)jailbreak (1)language-model (1)sycophancy (1)
Focus All
Topic Economy & society
Date Any time
The ethics of advanced AI assistants
DeepMind's ethics foresight paper surveys ethical and societal risks of advanced AI assistants, covering value alignment, safety and misuse, economic and information impacts, and access.
Evaluating social and ethical risks from generative AI
Proposes a three-layer context-based framework (capability, human interaction, systemic impact) for evaluating social and ethical risks of generative AI, illustrated with a misinformation case study.