What are the disadvantages of centralized AI?
Centralized AI can lead to issues like data privacy concerns, single points of failure, and lack of diversity in decision-making.
Can you explain how data privacy is affected?
Sure! Centralized AI systems often require large amounts of personal data, which can be vulnerable to breaches and misuse.
What about the impact on innovation?
Centralized AI can stifle innovation as it tends to favor a few dominant players, limiting competition and diverse solutions.
Are there any alternatives to centralized AI?
Yes, decentralized AI approaches, like federated learning, allow for data processing without centralizing sensitive information.
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