Diversity and Inclusion in AI: Lessons from Human and AI Collaboration
3 Jul 2024
Explore the operationalization of diversity and inclusion in AI requirements and the role of GPT-4 in enhancing this process.
The Hidden Costs of Neglecting Diversity Inclusion in AI Systems
3 Jul 2024
Explore the trade-offs and responsibilities in integrating diversity and inclusion in AI systems.
Operationalizing Diversity and Inclusion Requirements for AI Systems: Results
3 Jul 2024
Discover the key themes for integrating diversity and inclusion in AI systems, along with a tailored user story template for practical application.
Research Methodology for Operationalizing Diversity and Inclusion Requirements for AI Systems
3 Jul 2024
Explore a detailed research methodology for implementing diversity and inclusion in AI, from data collection to user story templates and focus groups.
Concrete Steps for Implementing Diversity and Inclusion in AI
3 Jul 2024
Learn how to effectively integrate diversity and inclusion into AI systems, addressing the gap between ethical guidelines and practical implementation
WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: Ablation Studies
3 Jul 2024
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: Conclusion and References
3 Jul 2024
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: Abstract and Introduction
3 Jul 2024
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.
WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: Related Work
3 Jul 2024
This paper presents an opensource toolkit intended primarily for ecologists and computer-vision/machine-learning researchers for wildlife re-identification.