Exploring the Safety, Ethics, and Fairness of Generative AI: What You Need to Know?

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Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Link: https://arxiv.org/pdf/2401.05778.pdf

TRUSTLLM: TRUSTWORTHINESS IN LARGE LANGUAGE MODELS

Link: https://arxiv.org/pdf/2401.05561.pdf

Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI

Link: https://arxiv.org/pdf/2311.18252.pdf

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations

Link: https://arxiv.org/pdf/2308.02053.pdf

Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems

Link: https://arxiv.org/pdf/2401.04057.pdf

The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance

Link: https://arxiv.org/pdf/2401.03729.pdf

Heterogeneous Value Alignment Evaluation for Large Language Models

Link: https://arxiv.org/pdf/2305.17147.pdf

Speak Like a Native: Prompting Large Language Models in a Native Style

Link: https://arxiv.org/pdf/2311.13538.pdf

00:00 Intro

00:33 Safety and Security in LLMs

01:19 Trust in Large Language Models

01:56 Addressing Privacy in Generative AI

02:30 Unveiling Demographic Bias

03:01 Fairness in AI Recommendations

03:28 The Impact of Prompt Variations

03:53 Aligning LLMs with Human Values

04:24 Enhancing Reasoning with AlignedCoT

05:18 End

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