Blockchain Can Combat AI Bias, Say Experts
Top executives at the World Economic Forum have highlighted the potential of using blockchain technology to address bias and misinformation in artificial intelligence (AI) models. By utilizing blockchain, developers can track the data that trains AI models, ensuring transparency and reducing bias.
Blockchain firm Casper Labs and tech giant IBM have joined forces to create an AI data bias tracking system. The system aims to tackle the increasing concerns surrounding biased AI models, which can perpetuate skewed perspectives even after users stop interacting with them.
Speaking at a panel discussion, Medha Parlikar, CTO and co-founder of Casper Labs, explained how the solution allows for rolling back AI when it starts producing biased or inaccurate results. Sheila Warren, CEO of the Crypto Council for Innovation, supported the idea, noting that blockchain-based verification and checks can be crucial in addressing AI bias.
Hot Take: Blockchain’s Crucial Role in Combating AI Bias
The collaboration between Casper Labs and IBM to create an AI data bias tracking system represents a major breakthrough for blockchain technology. This partnership underscores the significance of using blockchain to combat bias and misinformation in AI models, which can have far-reaching consequences. By enabling developers to transparently track the data used to train AI models, blockchain provides a crucial tool to ensure fairness and accuracy in AI systems. Moving forward, blockchain-based solutions for AI bias are likely to gain traction and contribute significantly to the wider adoption of blockchain technology.
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