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As artificial intelligence (AI) emerges into the mainstream, there is misinformation and confusion about what it’s capable of and the potential risks it constitutes. Our culture is enriched with dystopian visions of human ruin at the feet of all-knowing machines. On the other hand, most people appreciate the potential good AI might do for the civilization through the improvements and insights it could bring.
Though computer systems can learn, reason, and act, these are still in their infancy. Machine learning (ML) needs massive datasets. Many real-world systems such as self-driven cars, a complex blend of physical computer vision sensors, complex programming for real-time decision making, and robotics are needed. For businesses that are adopting AI, deployment is more straightforward but enabling AI to access information and allowing any measure of autonomy brings serious risks that have to be considered.
What risks does AI cause?
Accidental bias is not new with AI systems, and programmers or specific datasets can entrench it. Unfortunately, if this bias leads to poor decisions and even discrimination, legal repercussions and reputational damage may follow. Flawed artificial intelligence design can also leads to overfitting or underfitting, while AI makes too particular decisions.
Establishing human oversight, stringently …
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