Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research (Foundations and Trends(r) in Computer Graphics and Vision)

Price: $80.00
(as of Dec 24,2024 10:00:49 UTC – Details)

Publisher ‏ : ‎ Now Publishers (September 30, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 118 pages
ISBN-10 ‏ : ‎ 1638283540
ISBN-13 ‏ : ‎ 978-1638283546
Item Weight ‏ : ‎ 6.2 ounces
Dimensions ‏ : ‎ 6.14 x 0.25 x 9.21 inches

In recent years, computer vision has made significant advancements in various applications, from healthcare to autonomous vehicles. However, there is growing concern about the fairness and ethical implications of computer vision systems, particularly in areas such as bias, privacy, and discrimination.

In our latest research paper, “Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research,” published in Foundations and Trends(r) in Computer Graphics and Vision, we propose a comprehensive framework for addressing these challenges.

Our approach goes beyond traditional fairness metrics and focuses on creating community-rooted computer vision research that is inclusive, transparent, and accountable. We emphasize the importance of involving diverse stakeholders, including marginalized communities, in the design and evaluation of computer vision systems to ensure that they are fair and equitable.

Furthermore, we highlight the need for interdisciplinary collaboration between computer vision researchers, ethicists, policymakers, and community advocates to address the complex ethical issues surrounding computer vision technology. By taking a holistic approach, we can mitigate harms and foster a more responsible and socially conscious use of computer vision systems.

We believe that our framework provides a roadmap for advancing the field of computer vision in a way that benefits society as a whole. We invite researchers, practitioners, and policymakers to join us in this important conversation and work together to build a more ethical and inclusive future for computer vision technology.
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