_
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: guidelines

Selected tag: guidelines

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


Ethics of AI: A Systematic Literature Review of Principles and Challenges / 2109.07906 / on (web) Publishing site
Abstract
1 Introduction
2 Background
3 Research Method
5 Detail results and analysis
6 Threats to validity
References
9 Appendices


AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
Abstract
1Introduction
2 Related Work
5 Discussion
6 Conclusion
References


The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis / 2206.03225 / on (web) Publishing site
Abstract
1 Introduction
2 Related Work
3 Study Methodology
5 Evaluation of Ethical Principle Implementations
6 Gap Mitigation
References


A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Introductionn
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
Abstract
2 Related Work
3 Methodology
4 Results
5 Discussion
6 Conclusion
References


ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
2 Related Work
5 Discussion
References


On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
Abstract
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 2: History and prospective
Section 3: Current trends 2020-2023
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
References
Appendix A supplementary material


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


QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
Abstract
4 Conclusion
References


A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
Abstract
1. Introductioon
4. Corporate Self-Governance
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
References


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


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


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


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


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


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


Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
11 Bias Awareness: Navigating AI-Generated Content in Education


Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / on (web) Publishing site
1 Introduction
2 Related Work on Data Excellence
3 Reliability and Reproducibility Metrics for Responsible Data Collection
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
IV. Applied and technology implications for LLMs
V. Market analysis of LLMs and cross-industry use cases
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
References


Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
References


Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? / 2308.15399 / on (web) Publishing site
3 Theory and method


The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Executive summary
3 Benefits of AI use in the finance sector


Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond / 2309.00064 / on (web) Publishing site
1 Introduction
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
2. Related work
3. ChatGPT Training Process
6. Conclusion
References