
As worldwide enterprise AI adoption reaches “critical mass,” AI is becoming increasingly prevalent in daily life, business, government, medical, finance, and other fields. However, potential failures and associated commercial risks are also present, and as AI is scaled, problems can (and frequently do) scale as well – from autonomous collisions and algorithm bias to facial recognition blunders and chatbot slanders.
Businesses must now build supervision into AI applications and processes, minimizing risk and guaranteeing accountability without impeding innovation.
Scaling AI Summit is a one-of-a-kind venue for business leaders and technological marvels to collaborate and assess how to build revolutionary risk-averse AI systems founded on trust and reliability.
Participants will…
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