Towards Equitable Agile Research and Development of AI and Robotics
Fuente:
arXiv
Saved in:
| Main Authors: | Hundt, Andrew, Schuller, Julia, Kacianka, Severin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Legal Aspects for Software Developers Interested in Generative AI Applications
by: Herbold, Steffen, et al.
Published: (2024)
by: Herbold, Steffen, et al.
Published: (2024)
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
by: Xia, Boming, et al.
Published: (2024)
by: Xia, Boming, et al.
Published: (2024)
Rethinking Technological Readiness in the Era of AI Uncertainty
by: Browne, S. Tucker, et al.
Published: (2025)
by: Browne, S. Tucker, et al.
Published: (2025)
Green AI in Action: Strategic Model Selection for Ensembles in Production
by: Nijkamp, Nienke, et al.
Published: (2024)
by: Nijkamp, Nienke, et al.
Published: (2024)
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
by: Zhang, Dawen, et al.
Published: (2023)
by: Zhang, Dawen, et al.
Published: (2023)
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
by: Dascalescu, Stefan, et al.
Published: (2025)
by: Dascalescu, Stefan, et al.
Published: (2025)
NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
by: Vishwarupe, Varad, et al.
Published: (2026)
by: Vishwarupe, Varad, et al.
Published: (2026)
Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
by: Jewitt, James, et al.
Published: (2026)
by: Jewitt, James, et al.
Published: (2026)
Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainability
by: Barua, Biman, et al.
Published: (2024)
by: Barua, Biman, et al.
Published: (2024)
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
by: Seedat, Nabeel, et al.
Published: (2022)
by: Seedat, Nabeel, et al.
Published: (2022)
HyperNet-Adaptation for Diffusion-Based Test Case Generation
by: Weißl, Oliver, et al.
Published: (2026)
by: Weißl, Oliver, et al.
Published: (2026)
Are ChatGPT and Other Similar Systems the Modern Lernaean Hydras of AI?
by: Ioannidis, Dimitrios, et al.
Published: (2023)
by: Ioannidis, Dimitrios, et al.
Published: (2023)
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions
by: Marron, Assaf, et al.
Published: (2020)
by: Marron, Assaf, et al.
Published: (2020)
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations
by: Gohar, Usman, et al.
Published: (2024)
by: Gohar, Usman, et al.
Published: (2024)
Predicting Fairness of ML Software Configurations
by: Herrera, Salvador Robles, et al.
Published: (2024)
by: Herrera, Salvador Robles, et al.
Published: (2024)
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
by: Wang, Zhaohui, et al.
Published: (2024)
by: Wang, Zhaohui, et al.
Published: (2024)
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
by: Gupta, Neha R., et al.
Published: (2024)
by: Gupta, Neha R., et al.
Published: (2024)
Language model developers should report train-test overlap
by: Zhang, Andy K, et al.
Published: (2024)
by: Zhang, Andy K, et al.
Published: (2024)
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
by: White, Matt, et al.
Published: (2024)
by: White, Matt, et al.
Published: (2024)
Fairness Testing through Extreme Value Theory
by: Monjezi, Verya, et al.
Published: (2025)
by: Monjezi, Verya, et al.
Published: (2025)
Federated Data Analytics for Cancer Immunotherapy: A Privacy-Preserving Collaborative Platform for Patient Management
by: Raheem, Mira, et al.
Published: (2025)
by: Raheem, Mira, et al.
Published: (2025)
Measuring Agents in Production
by: Pan, Melissa Z., et al.
Published: (2025)
by: Pan, Melissa Z., et al.
Published: (2025)
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
by: Sikand, Samarth, et al.
Published: (2025)
by: Sikand, Samarth, et al.
Published: (2025)
Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review
by: Tulili, Tien Rahayu, et al.
Published: (2026)
by: Tulili, Tien Rahayu, et al.
Published: (2026)
Fairness Improvement with Multiple Protected Attributes: How Far Are We?
by: Chen, Zhenpeng, et al.
Published: (2023)
by: Chen, Zhenpeng, et al.
Published: (2023)
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
by: Osborne, Cailean, et al.
Published: (2024)
by: Osborne, Cailean, et al.
Published: (2024)
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
by: Giamattei, Luca, et al.
Published: (2024)
by: Giamattei, Luca, et al.
Published: (2024)
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
by: Sharifi, Sepehr, et al.
Published: (2024)
by: Sharifi, Sepehr, et al.
Published: (2024)
High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models
by: Mei, Yuewen, et al.
Published: (2024)
by: Mei, Yuewen, et al.
Published: (2024)
LangProp: A code optimization framework using Large Language Models applied to driving
by: Ishida, Shu, et al.
Published: (2024)
by: Ishida, Shu, et al.
Published: (2024)
Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
by: Dimidov, Valeriu, et al.
Published: (2025)
by: Dimidov, Valeriu, et al.
Published: (2025)
Assuring the Safety of Reinforcement Learning Components: AMLAS-RL
by: Imrie, Calum Corrie, et al.
Published: (2025)
by: Imrie, Calum Corrie, et al.
Published: (2025)
LLM as a code generator in Agile Model Driven Development
by: Sadik, Ahmed R., et al.
Published: (2024)
by: Sadik, Ahmed R., et al.
Published: (2024)
Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
by: Duan, Zhangqi, et al.
Published: (2025)
by: Duan, Zhangqi, et al.
Published: (2025)
Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education
by: Khan, Imran S. A., et al.
Published: (2025)
by: Khan, Imran S. A., et al.
Published: (2025)
Balancing Innovation and Ethics in AI-Driven Software Development
by: Baqar, Mohammad
Published: (2024)
by: Baqar, Mohammad
Published: (2024)
Leveraging XP and CRISP-DM for Agile Data Science Projects
by: Shimaoka, Andre Massahiro, et al.
Published: (2025)
by: Shimaoka, Andre Massahiro, et al.
Published: (2025)
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)
by: Pant, Aastha, et al.
Published: (2024)
ManiTwin: Scaling Data-Generation-Ready Digital Object Dataset to 100K
by: Wang, Kaixuan, et al.
Published: (2026)
by: Wang, Kaixuan, et al.
Published: (2026)
Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
by: Gao, Jaida, et al.
Published: (2024)
by: Gao, Jaida, et al.
Published: (2024)
Similar Items
-
Legal Aspects for Software Developers Interested in Generative AI Applications
by: Herbold, Steffen, et al.
Published: (2024) -
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
by: Xia, Boming, et al.
Published: (2024) -
Rethinking Technological Readiness in the Era of AI Uncertainty
by: Browne, S. Tucker, et al.
Published: (2025) -
Green AI in Action: Strategic Model Selection for Ensembles in Production
by: Nijkamp, Nienke, et al.
Published: (2024) -
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
by: Zhang, Dawen, et al.
Published: (2023)