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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: high

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The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Report highlights
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
Appendix


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


Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
2 Background
5 Detail results and analysis
References


AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
1Introduction
3 Method
4 Results
5 Discussion
References


The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract
2 Related Work
3 Study Methodology
4 Evaluation of Ethical AI Principles
5 Evaluation of Ethical Principle Implementations
8 Conclusion


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


Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
1 Introduction
2 Related Work
5 Discussion
References


Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
Abstract
1 Introduction
2 The Near-Long
3 The Problem with the Near/Long-Term Distinction
4 A Clearer Account of Research Priorities and Disagreements
Recommendations and Conclusion


ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
2 Related Work
3 The ESR Process
4 Deployment and Evaluation
References


On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
Abstract
1 Introduction
2 The Need forEthical AI in Finance
3 Practical Challengesof Ethical AI
4 Conclusions & Outlook
References


A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 1: Introduction and concept
Section 2: History and prospective
Section 3: Current trends 2020-2023
Section 4: Considerations and conclusions
Appendix A: Bibliographical references


What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
1 Introduction
2 Background
3 Methodology
4 Proposed competency framework for responsible AI practitioners
5 Discussion
6 Conclusion
References
Appendix A supplementary material


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


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


QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
1 Introduction
2 The Question Bank: QB4AIRA
3 Evaluation


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
7. Propensity to Trust
8. Ethics and Trust Lenses in the Multilevel Framework


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
3. Results
4. Discussion and conclusion
References


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


Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society / 2308.02030 / on (web) Publishing site
Results
Conclusion
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
1 Introduction
2 Clarifying Terminologies of Article-5: Insights from Behavioral Economics and Psychology
References


From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
Introduction
Applications in Military Versus Healthcare
Identifying Ethical Concerns and Risks
GREAT PLEA Ethical Principles for Generative AI in Healthcare
Conclusion
References


Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Abstract
Generation-related
Bias and Discrimination of Training Data
Conclusion


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


Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
Abstract
1 Introduction
3 Taxonomy of ethics principles
4 Previous operationalisation of ethical principles
6 Conclusion
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
Moral Injury
AI Workplace Health and Safety Framework


The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
Abstract
1 Introduction
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
1 Introduction
2 Large Language Models
3 Vulnerabilities, Attack, and Limitations
4 General Verification Framework
5 Falsification and Evaluation
6 Verification
7 Runtime Monitor
Reference


Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
Abstract
1 Introduction
2 Background
3 LLM-based penetration testing
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
2 Results
3 Discussion
4 Conclusions
References


Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
2 Related works
3 Targeted data augmentation
4 Experiments
5 Conclusions


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
7 Navigating Constraints: Limitations of Creative AI and GameBased Techniques
11 Bias Awareness: Navigating AI-Generated Content in Education
13 Case Study Example: Learning Success with Creative AI and Game-Based Techniques
References


Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
Abstract
1 Introduction
2 Related Work on Data Excellence
3 Reliability and Reproducibility Metrics for Responsible Data Collection
5 Results
6 Discussion
References
B Variability 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
IV. Applied and technology implications for LLMs
VII. Discussions
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
2 Literature review
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
3 Theory and method
4 Experiment
5 Conclusion
References


The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index
Executive summary
1 Introduction
2 Key AI technology in financial services
3 Benefits of AI use in the finance sector
4 Threaths & potential pitfalls
5 Challenges
6 Regulation of AI and regulating through AI
7 Recommendations
References


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
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
Abstract
1. Introduction
2. Related work
3. ChatGPT Training Process
4. Methods
6. Conclusion
References