The current mainstream large-scale language models have deficiencies in handling cultural differences, especially poor performance in dealing with non-Western cultural background issues, which has aroused the concern of many black founders. They realized that the Eurocentric bias of the algorithm caused the AI model to lack understanding of minority cultures, making the output results difficult to be close to reality.
The black founders noticed that mainstream large-scale language models like ChatGPT had obvious deficiencies in handling cultural differences. When these models answer questions that have nothing to do with Western cultural backgrounds, their responses are often too general and lack an understanding of African Americans and their unique cultural traditions.
To address this issue, over the past year, many black founders have launched ChatGPT alternatives targeting communities of color. John Pasmore's Latimer.AI is specifically designed for African Americans; Erin Reddick's ChatBlackGPT will launch a similar product in June; Canadian company Spark Plug's AI focuses on providing native English support to black students.
These founders have stated that mainstream AI companies ignore minority cultures when building models, resulting in algorithms with obvious Eurocentric bias. In order to solve this problem, they collected and trained a large amount of native cultural materials to ensure that the product output is closer to the actual experience of the black community.
In addition to language models, well-known material companies such as pocstock are also working hard to provide more diversified training data to avoid overly "racially homogeneous" images generated by AI. Some African entrepreneurs are also focusing on incorporating the region's more than 2,000 languages and dialects into large AI models to ensure that African culture is fully understood.
These innovations are helping to alleviate the long-standing cultural shortcomings of mainstream AI models. Some analysts believe that inclusive AI may become a trillion-dollar market in the future, and they look forward to more entrepreneurs of color contributing in this field.
The emergence of these targeted products not only fills the cultural gap in mainstream AI models, but also provides communities of color with technical support that is closer to their own cultural needs. The rise of diversified AI indicates that future AI development will be more inclusive and fair, and also brings new development opportunities to the AI industry.