Issues and Concerns Surrounding Generative AI Usage

Generative AI poses significant ethical concerns due to unauthorized data collection and potential misuse in creative fields.

### The Challenges of AI in the Creative Field
AI's effectiveness is hindered by **biased data and contamination**, raising concerns about its impact on freelancers and aspiring professionals. Generative AI, particularly through projects like Stable Diffusion, has raised **licensing issues** and contributed to the **monopolization of technology** by large corporations. In response, the Lion Foundation has initiated a non-profit organization to **distribute resources and collaborate with similar ideologies**, while also scraping data from various online platforms to **match images and text descriptions**.

### Controversy Surrounding Non-Profit's Image Collection
The non-profit organization has been criticized for **scraping and collecting 5.3 billion images without permission**, including from paid photo sites and social media. They claim to operate **without making revenue** and deny responsibility for the use of the collected data. The organization's actions have sparked controversy, with discussions about their potential to **transition into a business** and the **ethical implications of using unauthorized images for AI model training**.

### The Controversy Surrounding Generative AI
Generative AI is being used primarily by **small and medium-sized enterprises**, taking advantage of the gray area, while larger corporations are not as involved. The technology's method of operation, **breaking down and reassembling data**, differs from human understanding and creativity, leading to **diverse opinions on its use in art and design**. The development of generative AI, based on a **vast amount of data**, raises concerns about its **safety and ethical implications**, particularly in relation to **user consent** and the **potential misuse of artists' works**.

### The Risks and Ethical Concerns of Generative AI
Conflicts have arisen from the use of AI-generated images, revealing that tools like Photoshop and claims of "**clean AI**" are not truly safe. The misuse of generative AI to **impersonate artists and create false representations** raises ethical concerns, and the unchecked availability of AI images online could have a **significant social impact**. While the technology has potential benefits, the issue of **using others' work without permission** through data crawling remains a major concern.

### The Debate on Generative AI and Its Defense
There are advocates for AI, but the speaker disagrees with many of their arguments. The discussion highlights the **importance of addressing generative AI issues proactively**, rather than waiting for legislation. Projects like Glaze and NightShade aim to protect original data by **re-synthesizing noise**, using a large dataset to effectively **"spread the poison" and disrupt harmful information**.

### The Complexities of AI in Art: Bias, Licensing, and Ethical Concerns
* 🤖 The main issue with AI in art lies in its **biased use** and the **contamination of data**, which poses **significant challenges** that need addressing.
* 🎨 While many believe that AI won't significantly impact established professionals, it does introduce **new tools for art creation**, similar to how Vocaloid and translation software have coexisted with traditional roles.
* 📊 There are serious concerns surrounding generative AI, particularly regarding **licensing and the unauthorized use of datasets**, such as the controversial **Lion dataset** used by Stable Diffusion.
* 🏢 The rise of large corporations benefiting from these technologies raises ethical questions, leading to initiatives like the **Lion Foundation aimed at distributing resources fairly**.
* Many organizations are scraping data from various online platforms without permission, which has resulted in a **contentious debate about accountability and the ownership of creative works**.
* ⚖ Legislation is beginning to emerge in places like Illinois, indicating a **shift towards regulating AI**, but the current landscape remains fraught with issues, including the **misuse of artists' styles and works**.
* 🔍 The potential for generative AI to **create misleading representations and contaminate data** highlights the **urgent need for humans to establish laws and regulations** governing its use.
* 💡 Despite the challenges, there is hope for the development of **ethical AI in the future**, as ongoing discussions and protective measures like **Glaze and NightShade** aim to **mitigate the risks associated with generative AI**.

생성형 AI를 절대 쓰지 말아야 되는 이유! / 일러스트레이터 혜담님

인슈입니다^^ 게임그래픽, 아트, 그림, 원화 등을 다루고 있습니다.

인터뷰, 비지니스 문의는 댓글이나 이메일로 문의해주세요 ^^
shaonav@naver.com
