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You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
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A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
1. Introductioon 3. International and National Governance 4. Corporate Self-Governance 6. Psychology of Trust 8. Ethics and Trust Lenses in the Multilevel Framework 9. Virtue Ethics References
From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts / 2307.15452 / on (web) Publishing site
1. Introduction 2. Method 4. Discussion and conclusion
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
Abstract 1. Introduction 2. Value Chains 3. AI Value Chains 4. Ethical Implications of AI Value Chains 5. Directions for Future Research & Governance 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 3 Enhancing Protection for the General Public and Vulnerable Groups 4 Conclusion
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Introduction What is Generative Artificial Intelligence? Applications in Military Versus Healthcare References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Introduction System-role
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI / 2308.04448 / on (web) Publishing site
Abstract 2 Background 4 Centralized regulation in the US
context 6 The dual governance framework 8 Conclusion
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
1 Introduction 3 Taxonomy of ethics principles 4 Previous operationalisation of ethical principles 5 Gaps in operationalising ethical principles References
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Introduction Responsibility in War Computers, Autonomy and Accountability Human Factors AI Workplace Health and Safety Framework
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
1 Introduction 2 Large Language Models 5 Falsification and Evaluation Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
2 Background 5 A vision of AI-augmented pen-testing
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
Abstract 1 Introduction 3 Discussion
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
1 Introduction References
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Abstract
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
4 Enhancing User Experience through Creative AI Tools 5 Engaging Web-Based Programming with Game-Based Approaches 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 8 Real-World Applications: Showcasing Innovative
Implementations 10 Privacy Concerns in Interactive Web-Based Programming for Education 11 Bias Awareness: Navigating AI-Generated Content in Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education 13 Case Study Example: Learning Success with Creative AI and
Game-Based Techniques 14 Conclusion & Discussion
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
1 Introduction 2 Related Work on Data Excellence 5 Results References
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
I. Introduction II. Methods and training process of LLMs III. Comprehensive review of state-of-the-art LLMs V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI References
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
1 Introduction 2 The evolution of artificial intelligence: from theory to general capabilities 4 Integrating red teaming, blue teaming, and ethics with violet teaming 10 Supplemental & additional details References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
Abstract 4 Results and discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
1 Introduction 2 Related works 4 Experiment References A Details of datasets
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index 4 Threaths & potential pitfalls 5 Challenges 6 Regulation of AI and regulating through AI References
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
Abstract 1 Introduction 3 Bias and fairness 4 Human-centric AI 5 Ethical concerns and value alignment 6 Way forward 7 Conclusion References
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie / 2309.02029 / on (web) Publishing site
1. Introduction 3. ChatGPT Training Process 4. Methods 5. Discussion References