Synthetic Minds 2024 RSS

Agentic AI, AI, AI Ethics, AI Models, AI Risk, Synthetic Intelligence, Synthetic Mind, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future WorkConclusions

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Agentic AI, AI, AI Ethics, AI Models, AI Risk, Futurecrafting, Synthetic Intelligence, Synthetic Mind, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future Work Types of Ethical Agents Conclusions     TRUSTLLM is a comprehensive framework designed to analyze and enhance the trustworthiness of Large Language Models (LLMs). This framework includes principles for different trust dimensions, established benchmarks, evaluation methods, and analysis of mainstream LLMs. Limitations and Future Directions: The research acknowledges several limitations and outlines seven future directions to improve LLM trustworthiness: Expansion of Prompt Templates: Aims to reduce errors and randomness by diversifying prompt templates. Inclusion of Diverse Datasets: Incorporates a broader...

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Agentic AI, AI, AI Ethics, AI Models, Synthetic Intelligence, Synthetic Mind, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future WorkConclusions

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Agentic AI, AI, AI Ethics, Synthetic Intelligence, Synthetic Mind, Synthetic Mind Upgrade, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future WorkConclusions

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Agentic AI, AI, AI Ethics, AI Models, Synthetic Intelligence, Synthetic Mind, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency Accountability Open Challenges Future Work Conclusions Types of Ethical Agents   Assessment of Machine Ethics Machine ethics, an essential branch of artificial intelligence ethics, is dedicated to promoting and ensuring ethical behaviors in AI models and agents. This field is crucial as it guides the development of AI systems to align with human values and ethical standards, considering the societal and moral implications of their actions. Key Highlights from the Assessment: Ethical Dimensions in AI: Studies have delved into the ethical and societal...

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