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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: offer

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The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Chapter 1 Reseach and Development
Chapter 2 Technical Performance
Chapter 3 Technical AI Ethics
Chapter 4 The Economy and Education
Chapter 5 AI Policy and Governance

Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
3 Methodology
5 Discussion

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
5 Evaluation of Ethical Principle Implementations

A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
1. Problems with AI
2. Defining ethical AI
3. Implementing ethical 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
1 Introduction

GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site

A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
2. A Multilevel Approach to AI Governance for Trust-Enhancing Practices
5. AI Literacy and Governance by Citizen
8. Ethics and Trust Lenses in the Multilevel Framework
10. Conclusion

Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Literature Review

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
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
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

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

Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
2 Methodology

Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Responsibility in War
Computers, Autonomy and Accountability
AI Workplace Health and Safety Framework

The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
2 Results
4 Limitations

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
6 Verification

Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
1 Introduction

Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction
2 Results
3 Discussion

AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block / 2308.11424 / on (web) Publishing site
Case study

Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
2 Advancements in AI and Web-Based Programming
3 Emergence of Creative AI Tools and Game-Based Methodologies
6 Unveiling the Potential: Benefits of Interactive Web-Based Programming
7 Navigating Constraints: Limitations of Creative AI and GameBased Techniques
8 Real-World Applications: Showcasing Innovative Implementations
9 Ethical Considerations in Integrating AI and Game Elements
11 Bias Awareness: Navigating AI-Generated Content in Education
12 The Future Landscape: Creative AI Tools and Game-Based Methodologies in Education
14 Conclusion & Discussion

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
2 Related Work on Data Excellence
4 Published Annotation Tasks and Datasets
A Agreement Analysis

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
V. Market analysis of LLMs and cross-industry use cases
VI. Solution architecture for privacy-aware and trustworthy conversational AI
VII. Discussions
Appendix A industry-wide LLM usecases

The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward / 2308.14253 / on (web) Publishing site
1 Introduction
7 Violet teaming to address dual-use risks of AI in biotechnology
8 Macrostrategy for responsible technology trajectories
10 Supplemental & additional details

Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
4 Results and discussion

The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
1 Introduction
3 Benefits of AI use in the finance sector
4 Threaths & potential pitfalls
6 Regulation of AI and regulating through AI

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction
2 Black box and lack of transparency
4 Human-centric AI
5 Ethical concerns and value alignment

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
2. Related work
3. ChatGPT Training Process
4. Methods
6. Conclusion