Qinghua Lu

AI and Ethics—Operationalizing Responsible AI

2021 · 44 Zit.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

2023 · 32 Zit. · ACM Transactions on Software Engineering and Methodology

Dynamic Fusion based Federated Learning for COVID-19 Detection

2020 · 22 Zit. · arXiv (Cornell University)

Towards Implementing Responsible AI

2022 · 20 Zit. · 2022 IEEE International Conference on Big Data (Big Data)

Software engineering for responsible AI

2022 · 20 Zit.

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

2024 · 15 Zit.

AI and Ethics -- Operationalising Responsible AI

2021 · 9 Zit. · arXiv (Cornell University)

Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems

2022 · 9 Zit. · arXiv (Cornell University)

AI Ethics Principles in Practice: Perspectives of Designers and Developers

2021 · 8 Zit. · arXiv (Cornell University)

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

2023 · 4 Zit. · arXiv (Cornell University)

Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach

2023 · 4 Zit. · Communications of the ACM

QB4AIRA: A Question Bank for AI Risk Assessment

2023 · 3 Zit. · arXiv (Cornell University)

Towards Implementing Responsible AI

2022 · 1 Zit. · arXiv (Cornell University)

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

2023 · 1 Zit. · arXiv (Cornell University)