AI’s potential for innovation comes with equal parts vulnerability. Complex models, opaque algorithms and large data sets make it difficult to understand and secure their AI systems. Threats range from data privacy issues and unauthorized tool use to adversarial attacks, compliance pressures and supply chain risks.
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For small and midsize businesses (SMBs), technology has become fundamental to nearly every part of the business, from serving customers and processing payments to managing data and keeping operations running. Yet many businesses still approach IT reactively, addressing issues when something breaks rather than managing technology as critical business infrastructure. Artificial intelligence is making that…
Similar to other major AI developers, Google has been facing several lawsuits that challenge the tech giant’s alleged use of copyrighted materials to train its AI models. Against that backdrop, Google’s white paper on AI policy, A Pragmatic Approach to AI Governance in America, appears to present a balanced approach to facilitating continued innovation on…
Artificial intelligence is driving unprecedented demand for data center capacity, prompting states across the country to reconsider how these facilities are taxed, regulated, and integrated into existing infrastructure. As policymakers weigh the economic benefits of AI-driven investment against growing concerns over electricity demand, grid reliability, water consumption, and public costs, the focus is shifting from…
