_ 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: program
The AI Index 2022 Annual Report / 2205.03468 / on (web) Publishing site
Chapter 2 Technical Performance 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
4 Findings 5 Discussion
AI Ethics Issues in Real World: Evidence from AI Incident Database / 2206.07635 / on (web) Publishing site
2 Related Work 4 Results
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 6 Gap Mitigation References
A Framework for Ethical AI at the United Nations / 2104.12547 / on (web) Publishing site
Executive summary Introductionn 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
3 Methodology References
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society / 2001.04335 / on (web) Publishing site
References
ESR: Ethics and Society Review of Artificial Intelligence Research / 2106.11521 / on (web) Publishing site
Abstract 1 Introduction 2 Related Work 3 The ESR Process 4 Deployment and Evaluation 5 Discussion 6 Conclusion
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services / 2111.01306 / on (web) Publishing site
2 The Need forEthical AI in Finance References
A primer on AI ethics via arXiv- focus 2020-2023 / Kaggle / on (web) Publishing site
Section 4: Considerations and conclusions
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 4 Proposed competency framework for responsible AI practitioners 5 Discussion Appendix A supplementary material
QB4AIRA: A Question Bank for AI Risk Assessment / 2305.09300 / on (web) Publishing site
References
A multilevel framework for AI governance / 2307.03198 / on (web) Publishing site
4. Corporate Self-Governance 5. AI Literacy and Governance by Citizen 6. Psychology of Trust
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
2. Method 3. Results 4. Discussion and conclusion Acknowledgments
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance / 2307.16787 / on (web) Publishing site
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
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment / 2308.02678 / on (web) Publishing site
Abstract Generation-related
Normative Ethics Principles for Responsible AI Systems: Taxonomy and Future Directions / 2208.12616 / on (web) Publishing site
4 Previous operationalisation of ethical principles
Bad, mad, and cooked: Moral responsibility for civilian harms in human-AI military teams / 2211.06326 / on (web) Publishing site
Introduction Computers, Autonomy and Accountability References
The Future of ChatGPT-enabled Labor Market: A Preliminary Study / 2304.09823 / on (web) Publishing site
1 Introduction 3 Discussion
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation / 2305.11391 / on (web) Publishing site
2 Large Language Models 5 Falsification and Evaluation 6 Verification 7 Runtime Monitor 8 Regulations and Ethical Use Acknowledgments Reference
Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust / 2308.09979 / on (web) Publishing site
1 Introduction 3 Discussion
Targeted Data Augmentation for bias mitigation / 2308.11386 / on (web) Publishing site
References
Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming / 2308.11649 / on (web) Publishing site
Abstract 1 Introduction 2 Advancements in AI and Web-Based Programming 3 Emergence of Creative AI Tools and Game-Based Methodologies 13 Case Study Example: Learning Success with Creative AI and
Game-Based Techniques 14 Conclusion & 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
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 6 A pathway for balanced AI innovation 8 Macrostrategy for responsible technology trajectories References
Artificial Intelligence in Career Counseling: A Test Case with ResumAI / 2308.14301 / on (web) Publishing site
Abstract 4 Results and discussion
The AI Revolution: Opportunities and Challenges for the Finance Sector / 2308.16538 / on (web) Publishing site
Table of contents and index 2 Key AI technology in financial services 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 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
2. Related work 3. ChatGPT Training Process 5. Discussion 6. Conclusion References