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A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users.
Age-ism: Another form of bigotry
Robert N. Butler. 1969 · 1969
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High, usual and impaired functioning in community-dwelling older men and women: findings from the MacArthur Foundation Research Network on Successful Aging
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Lower extremity function and subsequent disability consistency across studies, predictive models, and value of gait speed alone compared with the Short Physical Performance Battery
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Successful aging in the oldest old: who can be characterized as successfully aged?
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Children are ready for speech technology-but is the technology ready for them
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Alzheimer Disease in the U.S. Population: Prevalence Estimates Using the 2000 Census
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Loneliness and depression in independent living retirement communities: risk and resilience factors
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A field study of the impact of gender and user’s technical experience on the performance of voice-activated medical tracking application
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Intelligent Technology for an Aging Population
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Correlates of self-rated successful aging among community-dwelling older adults
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Iranian Face Database with age, pose and expression
Azam Bastanfard, Melika Abbasian Nik, and Mohammad Mahdi Dehshibi. 2007 · 2007
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Virtual schooling
Niki Davis and Dale S Niederhauser. 2007 · 2007
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The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
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Learning Multiple Layers of Features from Tiny Images
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The NimStim set of facial expressions: Judgments from untrained research participants
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Story time for the 21st century
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Engaging the disengaged: how do we design technology for digitally excluded older adults?. In DIS10: Proceedings of the 8th ACM Conference on Designing Interactive Systems . ACM
Coleman Graeme, Lorna Gibson, Vicki Hanson, Ania Bobrowicz, and Alison McKay. 2010 · 2010
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Multi-PIE
Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker. 2010 · 2010
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The weirdest people in the world?
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The Next Four Decades: The Older Population in the United States: 2010 to 2050
Grayson K. Vincent and Victoria A. Velkoff. 2010 · 2010
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The intrinsic memorability of face images
W.A. Bainbridge, P. Isola, and A. Oliva. 2013 · 2013
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The old, old-old, and the oldest old: continuation or distinct categories? An examination of the relationship between age and changes in health, function, and wellbeing
Jiska Cohen-Mansfield, Dov Shmotkin, Zvia Blumstein, Aviva Shorek, Nitza Eyal, Haim Hazan, and CALAS Team. 2013 · 2013
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Association between older age and more successful aging: critical role of resilience and depression
Mitigating Bias in AI Models
Ruchir Puri. 2018 · 2018
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Does object recognition work for everyone? A new method to assess bias in CV systems
Facebook AI. 2019 · 2019
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Race after technology: Abolitionist tools for the new jim code
Ruha Benjamin. 2019 · 2019
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Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects
Patrick Grother, Mei Ngan, and Kayee Hanaoka. 2019 · 2019
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The AgeGuess database, an open online resource on chronological and perceived ages of people aged 5–100
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Disability, Bias, and AI
Meredith Whittaker, Meryl Alper, Cynthia L. Bennett, Sara Hendren, Liz Kaziunas, Mara Mills, Meredith Ringel Morris, Joy Rankin, Emily Rogers, Marcel Salas, and Sarah Myers West. 2019 · 2019
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Dilip V Jeste, Gauri N Savla, Wesley K Thompson, Ipsit V Vahia, Danielle K Glorioso, A’verria Sirkin Martin, Barton W Palmer, David Rock, Shahrokh Golshan, Helena C Kraemer, et al · 2013
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Presentation attack detection for face recognition using light field camera
R. Raghavendra, K. Raja, and C. Busch. 2015 · 2015
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Testing the tangible interactive window with older adults
Leonardo Angelini, Francesco Carrino, Maurizio Caon, Frédéric Lemaréchal, Nadine Couture, Omar Abou Khaled, and Elena Mugellini. 2016 · 2016
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Do Student Samples Provide an Accurate Estimate of the General Public?
Paul H. P. Hanel and Katia C. Vione. 2016 · 2016
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2017 Profile of Older Americans
ACL. 2017 · 2017
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Large Age-Gap Face Verification by Feature Injection in Deep Networks
Simone Bianco. 2017 · 2017
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How Will Artificial Intelligence Help the Aging?
Randy Rieland. 2017 · 2017
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Evaluating Face-Based AI Systems for Fairness: Challenges and Tradeoffs
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Sasa Junuzovic, Besmira Nushi, Jacquelyn Krones, and Meredith Ringel Morris. 2020b · 2020
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Artificial Intelligence Applications for Older Adults and People with Disabilities: Balancing Safety and Autonomy Proceedings of a Workshop—in Brief
NSF. 2018 · 2020
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Fair Attribute Classification through Latent Space De-biasing
Vikram V. Ramaswamy, Sunnie S. Y. Kim, and Olga Russakovsky. 2020 · 2020
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How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. In 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing . ACM
Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, and Jed R. Brubaker. 2020 · 2020
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Alexa is a Toy: Exploring Older Adults’ Reasons for Using, Limiting, and Abandoning Echo. In CHI ’20: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM
Milka Trajkova and Aqueasha Martin-Hammond. 2020 · 2020
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World Population Ageing 2020 Highlights: Living arragements of older persons
UN. 2020 · 2020
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Facial Recognition on Phones — What Is It and How Does it Work?
xfinity. 2019 · 2020
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Companionship Is Not a Function: The Effect of a Novel Robotic Object on Healthy Older Adults’ Feelings of “Being-Seen”. In CHI ’20: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM
Oren Zuckerman, Dina Walker, Andrey Grishko, Tal Moran, Chen Levy, Barak Lisak, Iddo Yehoshua Wald, and Hadas Erel. 2020 · 2020
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“We Just Use What They Give Us”: Understanding Passenger User Perspectives in Smart Homes. In CHI ’21: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM
Vinay Koshy, Joon Sung Park, Ti-Chung Cheng, and Karrie Karahalios. 2021 · 2021
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On Empathy and Empiricism: Addressing Stereotypes About Older Adults in Technology
Daria Loi and Thomas Lodato. 2021 · 2021
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Designing an Online Infrastructure for Collecting AI Data From People With Disabilities. In Proceedings of the 2021 Conference on Fairness, Accountability, and Transparency (FAccT) . ACM
Joon Sung Park, Danielle Bragg, Ece Kamar, and Meredith Ringel Morris. 2021 · 2021
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