Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research

Georgievskaya, Anastasia; Danko, David; Baxter, Richard A.; Corstjens, Hugo; Tlyachev, Timur

doi:10.1007/978-3-031-35176-1_10

Cited by 1 publication

(3 citation statements)

References 146 publications

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“…This article primarily focuses on bias in ML technologies as an important part of AI. ML-based applications are integrated in all segments of the cosmetic skincare industry chain, from basic research to customized services [9,10]. These ML applications include systems designed to capture individual characteristics of skin and hair from images and instrumental devices or collect information from online questionnaires, possibly with geolocation, etc.…”

Section: Key Stages Of the Ai Algorithm Development In Cosmetic Skinc...mentioning

confidence: 99%

“…These ML applications include systems designed to capture individual characteristics of skin and hair from images and instrumental devices or collect information from online questionnaires, possibly with geolocation, etc. On the one hand, this complex digital-based approach leads to a meaningful, well-founded outcome, such as an accurate skin diagnosis or product recommendation [9,10]. On the other hand, it carries the risk of bias and discrimination [12,13,27,33].…”

Section: Key Stages Of the Ai Algorithm Development In Cosmetic Skinc...mentioning

confidence: 99%

“…Digital tools in the field of beauty technology and cosmetic skincare include state-of-the-art techniques for collecting data on the characteristics of skin and hair. These tools interpret complex, multidimensional datasets and provide recommendations for a product or treatment [9][10][11]. These advanced approaches contribute to a truly personalized customer journey and shopping experience.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

How artificial intelligence adopts human biases: the case of cosmetic skincare industry

Georgievskaya,

Tlyachev,

Danko

et al. 2023

AI Ethics

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The cosmetic skincare industry is a growing market that extends to different regions and customer groups. In addition to scientific advances and technological developments, state-of-the-art digital approaches, including machine learning and other artificial intelligence (AI)-based techniques, are being applied at different stages of the value chain. The objectives of these efforts include optimizing the supply chain, developing high-quality, effective and safe products and personalization at every step of the customer journey. However, the use of digital technologies comes with risks and undesirable effects. These include a lack of transparency and accountability, compromised fairness and a general deficiency in data governance, all of which are critical at every customer touchpoint. This dark side of digital transformation is recognized by both businesses and governments. In this paper, we explain the concept of bias leading to unfairness for beauty technology applications. Based on published data we identified potential sources of AI bias in the cosmetic skincare industry and/or beauty tech. They were classified by the stage of the AI lifecycle: biases related to target setting, to acquisition and annotation, to modeling, to validation and evaluation, and to deployment and monitoring. We aim to create awareness of such phenomena among readers, whether executives, managers, developers or potential end-users.

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Section: Key Stages Of the Ai Algorithm Development In Cosmetic Skinc...mentioning

confidence: 99%

Section: Key Stages Of the Ai Algorithm Development In Cosmetic Skinc...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

How artificial intelligence adopts human biases: the case of cosmetic skincare industry

Georgievskaya,

Tlyachev,

Danko

et al. 2023

AI Ethics

View full text Add to dashboard Cite

show abstract

Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research

Cited by 1 publication

References 146 publications

How artificial intelligence adopts human biases: the case of cosmetic skincare industry

How artificial intelligence adopts human biases: the case of cosmetic skincare industry

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