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- research-articleJanuary 2019
A Comparative Analysis of Emotion-Detecting AI Systems with Respect to Algorithm Performance and Dataset Diversity
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 377–382https://doi.org/10.1145/3306618.3314284In recent news, organizations have been considering the use of facial and emotion recognition for applications involving youth such as tackling surveillance and security in schools. However, the majority of efforts on facial emotion recognition research ...
- research-articleJanuary 2019
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
- Bradley J. Gram-Hansen,
- Patrick Helber,
- Indhu Varatharajan,
- Faiza Azam,
- Alejandro Coca-Castro,
- Veronika Kopackova,
- Piotr Bilinski
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 361–368https://doi.org/10.1145/3306618.3314253Informal settlements are home to the most socially and economically vulnerable people on the planet. In order to deliver effective economic and social aid, non-government organizations (NGOs), such as the United Nations Children's Fund (UNICEF), require ...
- research-articleJanuary 2019
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 429–435https://doi.org/10.1145/3306618.3314244Although algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, we struggle to understand the real-world impact of these audits, as scholarship on the impact of algorithmic audits on increasing ...
- abstractJanuary 2019
Towards Emotional Intelligence in Social Robots Designed for Children
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 547–548https://doi.org/10.1145/3306618.3314319Social robots are robots designed to interact and communicate directly with humans, following traditional social norms. However, many of these current robots operate in discrete settings with predefined expectations for specific social interactions. In ...
- research-articleJanuary 2019
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
- Wenjie Hu,
- Jay Harshadbhai Patel,
- Zoe-Alanah Robert,
- Paul Novosad,
- Samuel Asher,
- Zhongyi Tang,
- Marshall Burke,
- David Lobell,
- Stefano Ermon
AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and SocietyPages 353–359https://doi.org/10.1145/3306618.3314263Millions of people worldwide are absent from their country's census. Accurate, current, and granular population metrics are critical to improving government allocation of resources, to measuring disease control, to responding to natural disasters, and ...