Published Aug 5, 2022

Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

Laura Weidinger delves into the ethical risks and alignment challenges of large language models, stressing the necessity of risk management and regulatory measures like the EU AI Act, while highlighting the responsibility of AI developers to align research with ethical standards.

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Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

Topics covered

Popular Clips

Understanding Research Responsibilities

Unethical AI Use

AI Regulation Insights

Language Model Risks

Analyzing Ethical AI

Practical AI Risk Mitigation

AI Ethics Unveiled

Emerging AI Risks

Outside Interests

Foresight and Participation

Risks of Language Models

Mispecification in Language Models

Rethinking Harm

Overlapping Fields

Episode Highlights

Language Model Risks

Ethical Use Cases

AI Ethics Research

Related Episodes

Evan Hubinger on Effective Altruism and AI Safety

Talia Ringer: Formal Verification and Deep Learning

Tal Linzen: Psycholinguistics and Language Modeling

Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

Martin Wattenberg: ML Visualization and Interpretability

Jacob Andreas: Language, Grounding, and World Models

Irene Solaiman: AI Policy and Social Impact

Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

Vera Liao: AI Explainability and Transparency

Luis Voloch: AI and Biology

Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

Kristin Lauter: Private AI, Homomorphic Encryption, and AI for Cryptography

Thomas Dietterich: From the Foundations

Christopher Manning: Linguistics and the Development of NLP

Jeremie Harris: Realistic Alignment and AI Policy

Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

Topics covered

Popular Clips

Episode Highlights

Language Model RisksLaura Weidinger explores the ethical risks and harms posed by large language models, emphasizing the need for structured risk management and mitigation strategies. Her insights highlight the importance of foresight and responsibility in AI development.

Language Model Risks

Ethical Use Cases

AI Ethics ResearchLaura Weidinger, a senior research scientist at DeepMind, explores the ethical challenges and responsibilities in AI development. She emphasizes the importance of interdisciplinary approaches and proactive measures to ensure ethical standards in AI systems.

AI Ethics Research

Related Episodes