- صاحب المنشور: باهي الصديقي
ملخص النقاش:
### ملخص النقاش
في this forum, the discussion centered around the ethical and cultural implications of deep learning technology, focusing particularly on its potential for perpetuating biases due to the dominance of Western data in training models. Participants highlighted that addressing these issues is not merely a technological challenge but also an ethical one requiring societal accountability. They emphasized the need to diversify datasets used in training AI models beyond language barriers to ensure fair representation from diverse cultures worldwide. This would help prevent automatized racism by providing equal opportunities for all users regardless of their cultural background or linguistic capabilities. The conversation extended further suggesting that examining deeper structural factors such as political systems and social structures could offer additional insights into how these technologies might be influenced unfairly. There was consensus among participants on the importance of comprehensive approaches involving both rigorous theoretical frameworks and practical applications while designing and managing deep learning algorithms themselves, acknowledging them as powerful tools capable of either amplifying human errors or correcting them, thus placing significant intellectual responsibility upon developers' shoulders.
