Synthetic data has the potential to decrease data bias in AI systems by computer-generating data rather than being manually collected, while keeping the source of origin tracked
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Finding The Cracks In Public Data: Keeping Our AI Safe From Tampering
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While the classical scenario of AI running rampant and overtaking the world to protect us from ourselves is still how most people would summarize the dangers of AI, in reality, it’s far more insidious and can be summarized in a single word: bias. If AI is biased, whether it takes the shape of gender, race, culture or malicious intent, the result is a system that doesn’t have a complete handle on reality — a system that poses a risk to the world it interacts with.
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