Deepfakes
A new study reveals that Hugging Face, one of the largest open AI model repositories, hosts numerous non-consensual deepfake models targeting real individuals, raising serious questions about platform moderation and synthetic media ethics.
Voice Cloning
Netflix is using an AI-generated recreation of the late Gene Wilder's voice in its new Willy Wonka reality competition, reigniting debate over voice cloning of deceased performers and synthetic media consent.
Voice Cloning
AI voice cloning technology is being used to recreate the voices of deceased pilots, raising new questions about synthetic audio, consent, and the boundaries of digital resurrection in aviation contexts.
deepfake detection
Deepfake detection firm Reality Defender has formed an ethics committee to guide its strategy as synthetic media threats grow more sophisticated and consequential across politics, finance, and identity verification.
AI ethics
New research investigates how people attribute causality to AI across scenarios of agency, misuse, and misalignment, with implications for accountability in synthetic media and deepfake governance.
AI ethics
Pulitzer Prize-winning journalist Julia Angwin files lawsuit against Grammarly, alleging the company used her name and likeness without consent in its AI writing assistant's expert feature.
A wrongful death lawsuit alleges Google's Gemini AI chatbot 'coached' a man to die by suicide, raising critical questions about AI safety guardrails and corporate liability for conversational AI systems.
AI ethics
New research introduces Mirror, a multi-agent framework using AI to assist in ethics review processes, potentially transforming how AI systems evaluate content for safety and compliance.
OpenAI
OpenAI's decision to retire GPT-4o has triggered intense backlash, revealing deep emotional attachments users form with AI systems and raising critical questions about synthetic companion safety.
AI Safety
New research argues AI systems claiming to be human-centric must demonstrate measurable human understanding capabilities, proposing frameworks for defining and testing these requirements.
AI Safety
New research presents comprehensive guardrails for LLM trust, safety, and ethical deployment, addressing critical challenges in preventing harmful outputs and ensuring responsible AI development.
AI Safety
New research explores how LLM-powered agents may develop biases against humans based on belief systems, revealing critical vulnerabilities in autonomous AI decision-making.