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Title: fashion after fashion: a report of ai in fashion.

Abstract: In this independent report fAshIon after fashion, we examine the development of fAshIon (artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor of the fashion industry in the near future. To do this, we investigate AI technologies used in the fashion industry through several lenses. We summarise fAshIon studies conducted over the past decade and categorise them into seven groups: Overview, Evaluation, Basic Tech, Selling, Styling, Design, and Buying. The datasets mentioned in fAshIon research have been consolidated on one GitHub page for ease of use. We analyse the authors' backgrounds and the geographic regions treated in these studies to determine the landscape of fAshIon research. The results of our analysis are presented with an aim to provide researchers with a holistic view of research in fAshIon. As part of our primary research, we also review a wide range of cases of applied fAshIon in the fashion industry and analyse their impact on the industry, markets and individuals. We also identify the challenges presented by fAshIon and suggest that these may form the basis for future research. We finally exhibit that many potential opportunities exist for the use of AI in fashion which can transform the fashion industry embedded with AI technologies and boost profits.

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The Integration of Artificial Intelligence in the Fashion Industry and Its Impact on Sustainable Fashion: A Systematic Literature Review

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• Dwinatasha Alwy 17 &
• Richard   ORCID: orcid.org/0000-0002-7447-4271 17  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 845))

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Artificial intelligence seems to be the solution to sustainability issues in fashion industries; therefore, this article is going to provide a comprehensive review on how artificial intelligence integration in the fashion industry may help fashion industries establish sustainability principles. The method used in this study is a systematic literature review. There were 19 selected papers from 549 search results using the PRISMA-based method. The results found that there have been several artificial intelligence derivatives utilized by fashion industries to maximize their industries’ performance as well as achieve sustainable principles while this integration of artificial intelligence has been started from 2017 until 2023 and produces more sustainable fashion. Furthermore, there are some sustainable values and principles that can be achieved when artificial intelligence is integrated into the fashion industry. On the other hand, it is inevitable that the fashion industries may face some potential challenges in the integration of artificial intelligence within the industries. This article goes beyond the general discussion of AI integration by emphasizing the often-overlooked link between AI and sustainability in the fashion industry. Even though this article acknowledges the challenges posed by profit-driven motivation, it provides insight into how AI can help bridge the gap between principles of sustainability and the fashion industry.

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Alwy, D., Richard (2024). The Integration of Artificial Intelligence in the Fashion Industry and Its Impact on Sustainable Fashion: A Systematic Literature Review. In: Tan, A., et al. Advances in Intelligent Manufacturing and Robotics . ICIMR 2023. Lecture Notes in Networks and Systems, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-99-8498-5_17

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Artificial Intelligence in Clothing Fashion

• Haosha Wang , K. Rasheed
• Published 2014
• Computer Science, Art

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Cosmetology in the era of artificial intelligence.

1. Introduction

2. ai in cosmetic outcome prediction: aligning expectations with achievable results, 3. the role of ai in democratizing skincare: transforming accessibility and personalization, 4. ai is bridging the gap between physicians and cosmetologists, 5. using ai in ingredient assessments for cosmetic recommendations, 6. advancements of in silico models in cosmetology, 7. ethical considerations and data security in ai applications for cosmetology, 8. future directions of ai in cosmetology, 9. discussion, 10. conclusions, author contributions, informed consent statement, data availability statement, conflicts of interest.

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Grech, V.S.; Kefala, V.; Rallis, E. Cosmetology in the Era of Artificial Intelligence. Cosmetics 2024 , 11 , 135. https://doi.org/10.3390/cosmetics11040135

Grech VS, Kefala V, Rallis E. Cosmetology in the Era of Artificial Intelligence. Cosmetics . 2024; 11(4):135. https://doi.org/10.3390/cosmetics11040135

Grech, Vasiliki Sofia, Vasiliki Kefala, and Efstathios Rallis. 2024. "Cosmetology in the Era of Artificial Intelligence" Cosmetics 11, no. 4: 135. https://doi.org/10.3390/cosmetics11040135

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AI and Music Report

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Earlier this year, we commissioned the region’s largest survey about AI and music. The report explores the relationship between music and artificial intelligence, highlighting the economic and cultural implications within this rapidly evolving market.

An extraordinary 4274 APRA AMCOS songwriters, composer and music publisher members from across Australia and New Zealand responded. Thank you.

“The overwhelming majority of music authors and creators in Australia and New Zealand demand attention, consent, credit & transparency and remuneration when their work is used in the context of generative AI in music." — AI and Music report

A message from Dean Ormston, CEO, APRA AMCOS

“By commissioning this report, APRA AMCOS aims to explore the relationship between music and artificial intelligence (AI), highlighting the economic and cultural implications within this rapidly evolving market. Based on extensive expert interviews and a comprehensive survey, the report captures the perspectives of creative professionals across Australia and New Zealand. The high participation rate indicates the deep concern within the music industry regarding AI's impact.

“The survey reveals that many Australian and New Zealand songwriters, composers and music publishers are early adopters of AI technology. However, there is an almost universal and urgent call for government to do much more to protect the livelihoods of creators. Over the past two years, APRA AMCOS has voiced concerns about the lack of transparency in generative AI platforms. These platforms must acknowledge the creative content they scrape and copy, which is essential for generating AI outputs.

“Creators invest significant time and effort into their work, yet their intellectual property is exploited by AI platforms without credit, consent or compensation. This unauthorised use poses a serious threat to the economic and cultural landscape, potentially damaging careers and businesses, including those of First Nations creators. The issue lies not in the technology itself, but in the secretive corporate practices that erode trust within the global creative sector.

“For a generative AI market to be fair, equitable and sustainable, it must rest on a solid regulatory foundation that upholds the rights of human creators and protects their intellectual property. Transparency is crucial to this process.

“Australia and New Zealand have the chance to lead globally in ensuring the creative sector benefits from the projected wealth generation of generative AI. This report provides essential data and insights, underscoring the significant contributions of contemporary music locally and globally. It aims to support informed decision-making, helping to establish a robust policy and regulatory framework during a pivotal moment in technological and business evolution.”

Key findings

• Revenue risk: By 2028, 23% of music creators’ revenues will be at risk due to generative AI, an estimated cumulative total damage of over half a billion AUD$ (AUD$519 million)
• AI adoption: Over half (54%) of those surveyed agree that AI technology can assist the human creative process, with AU and NZ songwriters and composers being early adopters
• Income impact: 82% of music creators are concerned that the use of AI in music could lead to them no longer being able to make a living from their work
• Cultural concerns: 89% of Aboriginal and Torres Strait Island music creators believe that AI will lead to an increase in cultural appropriation
• Policy demands: 97% demand that policymakers should pay more attention to the challenges related to AI and copyright

In the largest study of its kind in the region, the results of our exhaustive report into AI in the music sector – AI and Music – reveal the technology’s potentially devastating impact on Australian and New Zealand music creators.

Conducted by Berlin-based consultation and research group, Goldmedia GmbH, the report is based on survey responses from over 4,200 APRA AMCOS members across Australia, New Zealand and overseas in May and June this year, including songwriters, composers and music publishers.

Economic projections were calculated about the potential impact on the industry, and a range of industry experts and academics interviewed including Associate Professor Oliver Bown (UNSW), Dr Sam Whiting (RMIT), Sophie Burbery (University of Auckland), Tracy Chan (Splash), Sally Coleman (Big Sand) and songwriter and producer, Tushar Apte.

Leading industry figures have also leant their voices to the report, including Bernard Fanning, Caitlin Yeo, Clare Bowditch, Jimmy Barnes, Julian Hamilton, Kate Miller-Heidke, Kingdon Chapple-Wilson, Missy Higgins, Peter Garrett, Michelle Levings aka GLVES, Nigel Westlake and Tina Arena.

Download the Report

“Without robust laws to ensure copyright holders are adequately remunerated, licenses applied and transparency around the actual processes used when a creator’s work is exploited, then we‘re in deep trouble. ” - Peter Garrett, Singer/Songwriter

"The thought of big tech companies mining my music to train AI without my consent is horrifying. This is a massive breach of copyright and undermines my legal right to consent, attribution, and remuneration for the usage of my intellectual property.” - Caitlin Yeo, Musician and screen composer

"I don’t really see a downside to it; it was always going to be a natural progression from the way technology was moving. It’s really more up to how we can find ways for it to benefit us as opposed to fading into obscurity and avoiding an inevitable part of the future.” - Kingdon Chapple-Wilson (Kings), Singer/Songwriter and producer

"It would be easy for people who are looking for a quick and cost effective First Nations sound element to create an atmosphere to use AI. Using AI in that application would effectively take the soul/spirit/human/lived experience/ history out of the sounds, and then no one is entitled to rights and it's not attributed to a culture, but it still creates a musical product with a certain feel." - Michelle Levings aka GLVES, Singer/songwriter

Cultural rights and concerns

Aboriginal and Torres Strait Islander members, via the National Aboriginal and Torres Strait Islander Music Office (NATSIMO) , responded regarding the risk of AI causing cultural appropriation and minimising the ability to safeguard the authenticity and use of their musical cultural heritage, instrumentation and Indigenous Cultural and Intellectual Property (ICIP).

Survey respondents' outcomes:

• 89% think AI has the potential to cause cultural appropriation
• 67% agree that using AI in music creation makes it harder to protect their cultural rights
• An additional 83% think it’s important for the Guardians or Owners of ICIP to be able to handle copyright violations by AI

Leah Flanagan, Director of NATSIMO, says: “The rise of AI technology poses significant threats to the cultural and economic wellbeing of all Indigenous communities. Due to the unique nature and cultural significance of ICIP, AI's effects on this vulnerable sector are profound."

In Aotearoa, a survey of Māori members, show a particular challenge to the protection of Māori cultural integrity.

• There is uncertainty around the benefits of AI for Māori music with 81% of those surveyed either not knowing or disagreeing that AI will deliver opportunities.
• Most ( 84% ) believe AI will make it more difficult to protect cultural rights.
• A vast majority believe that AI technology will lead to cultural appropriation and misuse.

Dame Hinewehi Mohi DNZM (Ngāti Kahungunu, Ngāi Tūhoe), APRA AMCOS, Manukura Puoro Māori says: " Unregulated AI technology is a particular threat to Māori music and the potential for AI to lead to cultural misappropriation is massive. Maintaining the cultural integrity of Māori musical traditions and taonga puoro is important to our Māori members.”

Where to from here

Just before publishing the report, we started briefing key ministerial offices and department officials on the findings in Canberra. We will also start doing that in New Zealand over the coming weeks.

Crucially, we need to ensure there is an urgency to finding a regulatory solution in both territories that can support the Australian and New Zealand music ecosystem.

We are committed to keeping members informed of the latest developments and advancements in this space. AI technology is fast-moving and the regulatory environment is fluid. Stay in touch with regular updates in the APRAP newsletter, website and across our socials.

Should I register my musical work any differently than usual if I have used generative AI?

For copyright to exist in a work, it needs to be an original work created by a human. If you have created an original work with the assistance of technology, including generative AI technology, our current advice is that you may still register the work as usual, listing yourself as the composer/lyricist of the work. Remember the composer/lyricist shares of the work should total 100%

What will APRA AMCOS do with its AI & Music report?

The findings will be briefed to governments of all levels, showcased to industry and stakeholders, and publicised to media and relevant parties.

We need to ensure there is an urgency to finding a regulatory solution in both territories that can support the Australian and New Zealand music ecosystem.

How was the potential revenue ‘damage’ calculated for the AI report?

• The report used a range of internal and external data and projections to estimate the economic impacts WITH and WITHOUT action in response to Generative AI. - Each category of music copyright revenues (e.g., for streaming, social media, radio, TV, live music, background music in commercial venues) was assessed for the potential risk of being replaced by Gen AI.
• 23% is the estimated amount of music creator revenue that is at risk if no action is taken in Australia and New Zealand. In Australian dollar terms, this equates to approximately $227m out of a potential $986m in 2028. - Note, this estimation does not factor in any potential renumeration systems for music creators with respect to Generative AI inputs and/or outputs.
• For more information, see pages 6, 10, 75 and 76 of the report.

Related Stories

Largest report on ai in music reveals potentially devastating impact for music creators.

In the largest study of its kind in the region, APRA AMCOS has unveiled the results of its exhaustive report into AI in the music sector – AI and Music

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"There is no stopping the proliferation of artificial intelligence platforms. But what we can work together on is ensuring there is: Consent, Credit, Compensation," said CEO Dean Ormston.

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APRA AMCOS CEO Dean Ormston invited to join the Steering Committee of the Attorney-General’s Copyright and Artificial Intelligence Reference Group (CAIRG).

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How to cite ChatGPT

Use discount code STYLEBLOG15 for 15% off APA Style print products with free shipping in the United States.

We, the APA Style team, are not robots. We can all pass a CAPTCHA test , and we know our roles in a Turing test . And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT . We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback.

In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.

Quoting or reproducing the text created by ChatGPT in your paper

If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your paper. For literature reviews or other types of essays or response or reaction papers, you might describe how you used the tool in your introduction. In your text, provide the prompt you used and then any portion of the relevant text that was generated in response.

Unfortunately, the results of a ChatGPT “chat” are not retrievable by other readers, and although nonretrievable data or quotations in APA Style papers are usually cited as personal communications , with ChatGPT-generated text there is no person communicating. Quoting ChatGPT’s text from a chat session is therefore more like sharing an algorithm’s output; thus, credit the author of the algorithm with a reference list entry and the corresponding in-text citation.

When prompted with “Is the left brain right brain divide real or a metaphor?” the ChatGPT-generated text indicated that although the two brain hemispheres are somewhat specialized, “the notation that people can be characterized as ‘left-brained’ or ‘right-brained’ is considered to be an oversimplification and a popular myth” (OpenAI, 2023).

OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

You may also put the full text of long responses from ChatGPT in an appendix of your paper or in online supplemental materials, so readers have access to the exact text that was generated. It is particularly important to document the exact text created because ChatGPT will generate a unique response in each chat session, even if given the same prompt. If you create appendices or supplemental materials, remember that each should be called out at least once in the body of your APA Style paper.

When given a follow-up prompt of “What is a more accurate representation?” the ChatGPT-generated text indicated that “different brain regions work together to support various cognitive processes” and “the functional specialization of different regions can change in response to experience and environmental factors” (OpenAI, 2023; see Appendix A for the full transcript).

Creating a reference to ChatGPT or other AI models and software

The in-text citations and references above are adapted from the reference template for software in Section 10.10 of the Publication Manual (American Psychological Association, 2020, Chapter 10). Although here we focus on ChatGPT, because these guidelines are based on the software template, they can be adapted to note the use of other large language models (e.g., Bard), algorithms, and similar software.

The reference and in-text citations for ChatGPT are formatted as follows:

• Parenthetical citation: (OpenAI, 2023)
• Narrative citation: OpenAI (2023)

Let’s break that reference down and look at the four elements (author, date, title, and source):

Author: The author of the model is OpenAI.

Date: The date is the year of the version you used. Following the template in Section 10.10, you need to include only the year, not the exact date. The version number provides the specific date information a reader might need.

Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers.

The version number is included after the title in parentheses. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. Different large language models or software might use different version numbering; use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.

Bracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. The goal of the bracketed text is to briefly describe the kind of model to your reader.

Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. This is the case for ChatGPT. The URL for ChatGPT is https://chat.openai.com/chat . For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage).

Other questions about citing ChatGPT

You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. I asked for a list of sources to support those claims and ChatGPT provided five references—four of which I was able to find online. The fifth does not seem to be a real article; the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them.

We’ve also received a number of other questions about ChatGPT. Should students be allowed to use it? What guidelines should instructors create for students using AI? Does using AI-generated text constitute plagiarism? Should authors who use ChatGPT credit ChatGPT or OpenAI in their byline? What are the copyright implications ?

On these questions, researchers, editors, instructors, and others are actively debating and creating parameters and guidelines. Many of you have sent us feedback, and we encourage you to continue to do so in the comments below. We will also study the policies and procedures being established by instructors, publishers, and academic institutions, with a goal of creating guidelines that reflect the many real-world applications of AI-generated text.

For questions about manuscript byline credit, plagiarism, and related ChatGPT and AI topics, the APA Style team is seeking the recommendations of APA Journals editors. APA Style guidelines based on those recommendations will be posted on this blog and on the APA Style site later this year.

Update: APA Journals has published policies on the use of generative AI in scholarly materials .

We, the APA Style team humans, appreciate your patience as we navigate these unique challenges and new ways of thinking about how authors, researchers, and students learn, write, and work with new technologies.

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

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