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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13 > (tag cloud) >tag_selected: malicious

Selected tag: malicious

AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
2 Related Work
4 Results
5 Discussion


A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
1. Problems with AI


ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
4 Deployment and Evaluation


On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
References


Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
III. Interactions between Aspects


The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
4. Ethical Implications of AI Value Chains
References


Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act / 2308.02041 / on (web) Publishing site
2 Clarifying Terminologies of Article-5: Insights from Behavioral Economics and Psychology


From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Introduction
GREAT PLEA Ethical Principles for Generative AI in Healthcare


Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
System-role
Generation-related


Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
2 Background
6 The dual governance framework


A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
2 Large Language Models
3 Vulnerabilities, Attack, and Limitations
5 Falsification and Evaluation


Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
4 Discussion
6 Final ethical considerations


Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph / 2308.13534 / on (web) Publishing site
V. Market analysis of LLMs and cross-industry use cases


The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
6 A pathway for balanced AI innovation
10 Supplemental & additional details
References


Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
6 Way forward