The emergence of 'Ghibli-style' AI-generated images sparked a polarized response on social media, with some praising the artistry and others criticizing the new capabilities of ChatGPT (Dall-E).
Concerns have been raised about copyrights surrounding the generated images, with the US Copyright Office stating that the styled images are not copyrightable unless a human artistic touch is added.
OpenAI's policies restrict the use of work by living artists but allow for broader studio styles to be used, leading to debates on circumventing copyrights and policy restrictions.
The lack of human reasoning and contextualization in AI interactions has been highlighted, especially in cases like prompting for 'Ghibli style' images without considering the origins and implications.
AI-generated images often involve post-processing real photos to resemble animations, raising concerns about privacy, copyrights, and unintended future uses of these manipulated images.
The debate extends to comparing sharing AI images to posting on social media, with distinctions drawn on visibility, copyright protections, and implications for those depicted in the images.
Issues of privacy and user experience are brought into focus, highlighting the need for AI systems to prioritize user-centered design and incorporate human capabilities and vulnerabilities into their operations.
Current AI systems often lack user-centric design considerations, emphasizing the importance of educating users on AI capabilities and ethical usage while also holding AI systems accountable for guiding and safeguarding users.
The article underscores the importance of reevaluating how AI systems interact with users, particularly in terms of user input, potential misuse of outputs, and system accountability for handling generated content.
In conclusion, the article critiques the shortcomings in Human-AI interaction design, using the example of ChatGPT's Studio Ghibli-inspired images to highlight the failures in AI system capabilities and user experience.
The author acknowledges human fallibility in writing the article and stresses the need for a cautious and informed approach to navigate the complexities of AI interactions and their implications.