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Two foundations for the future of finance: Blockchain and AI

The rise of generative AI has raised concerns over sustainability, security and bias. Integrating with blockchain technology can help — decentralizing systems, improving computational efficiency and improving transparency.

For value generation and risk management, blockchain can be a vital partner for artificial intelligence — and this isn’t just a theory. There are already real-world examples of blockchains helping address the surging demand posed by AI for computational power and the related environmental impact. Blockchain technology can also solve key challenges — related to security, oversight, compliance and excessive dependence on vendors — that arise from the centralized, “black box” nature of most generative AI models.

Financial institutions, large and small, should be especially attentive to AI challenges and blockchain solutions. As tightly regulated and scrutinized institutions, they cannot afford to let AI blow up their carbon footprints, open the door to cyber breaches, or create data governance, privacy and compliance risks. These are organizations that need AI to deliver valuable, risk-managed results at a reasonable cost.

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Author

  • Sheila Warren is the CEO of the Crypto Council for Innovation, a global alliance for advancing the promise of this new technology through research, education and advocacy. She previously founded the World Economic Forum’s blockchain and digital assets team and was a member of the Executive Leadership Team. Ms. Warren was on the leadership team at TechSoup and built NGOsource, an online service that helps US foundations reduce costs on cross-border grants. She began her career as a Wall Street attorney at Cravath, Swaine & Moore LLP after earning her J.D. at Harvard Law School. She is the co-host of Money Reimagined, aCoinDesk podcast.

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