Advances in enabling Artificial Intelligence (AI) technology including machine vision, speech recognition and expert systems are at the heart of an exponential innovation boom touching all facets of life. How we move, do business, protect our communities and even produce food is dramatically changing.
Generally, we associate this with positives. But what happens when these same transformative innovations we create have negative consequences? We’re already seeing instances of bias - based on demographics like gender, race and age - emerge across vision and speech recognition applications.
If ultimately the “I” in “AI” is spawned of human genesis - then what practical frameworks can we put in place to ensure the same ethical, safety & risk frameworks that apply to all other aspects of life are fundamental in shaping the beneficial evolution of this technology? And who should be responsible for such critical decisions?
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