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1. Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement

2. A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

3. Towards AI-Safety-by-Design: A Taxonomy of Runtime Guardrails in Foundation Model based Systems

4. Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment

5. Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework

6. Learning Interpretable Scheduling Algorithms for Data Processing Clusters

7. Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning

8. Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents

9. Provably Unlearnable Examples

10. An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping

11. Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems

12. Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

13. Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI

14. Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability

15. Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents

16. Local Differential Privacy for Smart Meter Data Sharing

17. Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright

18. Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?

19. Decentralised Governance-Driven Architecture for Designing Foundation Model based Systems: Exploring the Role of Blockchain in Responsible AI

20. Quantum Software Analytics: Opportunities and Challenges

21. Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future

22. Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services

28. Distributed Trust Through the Lens of Software Architecture

29. QB4AIRA: A Question Bank for AI Risk Assessment

30. A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture

31. SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics

32. On the Way to SBOMs: Investigating Design Issues and Solutions in Practice

33. A Reference Architecture for Designing Foundation Model based Systems

34. Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges

35. Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation

36. To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

37. Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence

38. Emerging Synergies in Causality and Deep Generative Models: A Survey

39. Towards Concrete and Connected AI Risk Assessment (C$^2$AIRA): A Systematic Mapping Study

40. An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead

41. Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach

42. BGRA: A Reference Architecture for Blockchain Governance

43. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering

45. Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

46. Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems

47. Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code

48. Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms

49. Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images

50. Towards Implementing Responsible AI

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