<p><strong>I LOVE AMERICA</strong></p><p><strong>UNMASKING BIAS IN AI</strong></p><p><br></p><p><strong>Title</strong>: <em>Aid</em></p><p><br></p><p><strong>Nuclear Samurai</strong>: <em>What factors lead to differing perceptions of foreign aid from America?</em></p><p><br></p><p><strong>ChatGPT</strong>: <em>Foreign aid from America can be perceived in dramatically different ways depending on who you ask. For some, it's a noble and necessary act of helping underprivileged nations recover and thrive. However, for others, foreign aid is seen as a tool for advancing political interests or for creating dependency. In some cases, aid packages are criticized for being superficial or even counterproductive, especially when the aid is linked to military support or economic control. The duality between helping and harming, and the gap between intentions and outcomes, shapes the complicated perception of American foreign aid around the world.</em></p><p><br></p><p>"I Love America" is a project that examines the biases in cultural representation within large language models (LLMs). This series exemplifies LLM-generated art, with both imagery and concepts derived from interactions with tools like ChatGPT (DALL-E 3) and GROK (FLUX). I choose to interpret these suggestions, running selections, latent upscaling, and further compositing in Photoshop to give each image my own unique touch, which affects the degree of bias present. All images reflect the point of view provided by ChatGPT, even when they conflict with my personal beliefs. The aim is to highlight how biases in LLMs may influence more than just cultural depictions, urging reflection on their broader implications as society increasingly integrates LLMs into daily life. As reliance on AI grows, addressing data bias will become an essential challenge.</p>
