_ RobertoLofaro.com - Knowledge Portal Change, with and without technology for updates on publications, follow @changerulebook on either Instagram or Twitter - you can also support on Patreon or subscribe on YouTube
_
You are now here: AI Ethics Primer - search within the bibliography - version 0.3 of 2023-08-13
> (tag cloud) >tag_selected: train
Exciting, Useful, Worrying, Futuristic:
Public Perception of Artificial Intelligence in 8 Countries / 2001.00081 / on (web) Publishing site
References A Questionnaire - Selected Questions
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
4 Results
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
1 Introduction 3 Study Methodology 5 Evaluation of Ethical Principle Implementations References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Introductionn 1. Problems with AI 2. Defining ethical AI 3. Implementing ethical AI
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance / 2206.11922 / on (web) Publishing site
3 Methodology 4 Results
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 A Appendix: Interview Protocol
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
3 Practical Challengesof Ethical AI
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
What does it mean to be a responsible AI practitioner: An ontology of roles and skills / 2205.03946 / on (web) Publishing site
Abstract 1 Introduction 2 Background 3 Methodology 4 Proposed competency framework for responsible AI practitioners 5 Discussion References Appendix A supplementary material
GPT detectors are biased against non-native English writers / 2304.02819 / on (web) Publishing site
Abstract References
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects / 2304.08275 / on (web) Publishing site
II. Underlying Aspects III. Interactions between Aspects References
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
4. Corporate Self-Governance 5. AI Literacy and Governance by Citizen 8. Ethics and Trust Lenses in the Multilevel Framework 9. Virtue Ethics
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
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
3. AI 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
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
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence / 2308.02448 / on (web) Publishing site
What is Generative Artificial Intelligence? Identifying Ethical Concerns and Risks GREAT PLEA Ethical Principles for Generative AI in
Healthcare References
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
System-role 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
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
3 Taxonomy of ethics principles 4 Previous operationalisation of 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 Discussion
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
2 Results 4 Limitations References
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 5 Falsification and Evaluation 6 Verification 7 Runtime Monitor 8 Regulations and Ethical Use 9 Discussions 10 Conclusions Reference
Getting pwn'd by AI: Penetration Testing with Large Language Models / 2308.00121 / on (web) Publishing site
1 Introduction 2 Background 3 LLM-based penetration testing 4 Discussion 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
1 Introduction 3 Discussion 4 Conclusions
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
Abstract 1 Introduction 2 Related works 3 Targeted data augmentation 4 Experiments 5 Conclusions References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
5 Engaging Web-Based Programming with Game-Based Approaches 7 Navigating Constraints: Limitations of Creative AI and
GameBased Techniques 11 Bias Awareness: Navigating AI-Generated Content in Education 12 The Future Landscape: Creative AI Tools and Game-Based
Methodologies in Education
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
1 Introduction 6 Discussion 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 IV. Applied and technology implications for LLMs V. Market analysis of LLMs and cross-industry use cases VI. Solution architecture for privacy-aware and trustworthy conversational AI References 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
2 The evolution of artificial intelligence: from theory to general capabilities 3 Emerging dual-use risks and vulnerabilities in AI systems 4 Integrating red teaming, blue teaming, and ethics with violet teaming 5 Research directions in AI safety and violet teaming 6 A pathway for balanced AI innovation 7 Violet teaming to address dual-use risks of AI in biotechnology 10 Supplemental & additional details References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
4 Results and discussion
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
Abstract 1 Introduction 3 Theory and method 4 Experiment References B Experimental details
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index 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 6 Way forward 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 2. Related work 3. ChatGPT Training Process 4. Methods 5. Discussion 6. Conclusion References