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It’s was made clear that Artificial intelligence has great potential, but it also creates risks like deepfakes, biased data and data drift.
The costs of AI's misuse are mounting, with vulnerability depending on how organizations manage their own data and internal systems.
Using blockchain, decentralized cloud storage would offer a safer alternative.
The world is currently undergoing an AI revolution. With this comes great opportunity — but also new challenges and concerns.
Deepfakes and data integrity issues, for example, are yet to have a clear answer. The ethical and security implications are alarming as they can deceive and mislead individuals, leading to far-reaching consequences for both companies and individuals.
As one of many examples, an incident in China illustrates the threat: a deepfake scam defrauded an individual for $662,000. There are also instances of AI-driven chatbots that exhibit flaws and vulnerabilities, drawing attention to inaccuracies and combative behaviour.
Such instances underscore the susceptibility of AI to spread misinformation, jeopardize security and induce errors. The potential for AI to inadvertently share false information and breach security measures is rapidly emerging as a pressing issue — but decentralized cloud storage solutions could help.
Through decentralized cloud storage networks, data is securely stored in centres around the world, ensuring accessibility, verifiability, traceability and immutability when combined with the capabilities of blockchain technology. Blockchain is a form of Distributed Ledger Technology (DLT), in which the entire network works collaboratively to ensure the data’s integrity .
This approach tightens the vulnerabilities associated with single points of failure, reducing the risk of malicious attacks and data tampering while improving data security and trust in digital ecosystems.
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