As artificial intelligence continues to evolve, Texas is considering key pieces of AI-related legislation that await Governor Greg Abbott’s signature. Among the proposed bills are measures to regulate government use of AI, address deepfake content, and create an Artificial Intelligence Division within the state government.
Tejasvi Addagada emphasizes the urgent need for a fundamental reset in how we govern data and AI, arguing that traditional management models are outdated and inadequate for the complexities of modern technology. He introduces the Contingency and Evolutionary Governance models as adaptive frameworks that align with the evolving nature of organizations and their use of AI.
Regulators are focusing on artificial intelligence as it evolves, posing challenges to fair competition within the digital economy. Various global approaches to data regulation are being adopted, highlighting the complexity of managing emerging technologies and competition in diverse markets.
The “Big Beautiful Bill” passed by the U.S. House includes a provision that imposes a 10-year moratorium on state laws regulating artificial intelligence, effectively placing tech companies above the law. This could undermine state protections for civil rights, privacy, consumer safety, and many other critical areas, creating significant legal uncertainty.
The Trump administration is proposing a 10-year moratorium on state or local AI laws as part of a massive tax and spending plan, which could disrupt the more than 45 states that introduced AI bills last year. Advocates believe this freeze may simplify regulations, while critics argue it raises more questions about internal oversight and long-term planning for CIOs.
House Republicans have proposed a ban on state regulations regarding artificial intelligence (AI), arguing that a unified federal standard is necessary to avoid confusion for technology companies. The proposal has sparked significant debate among lawmakers and the tech community about its potential implications for AI development and consumer protections.
The Take It Down Act demonstrates that targeted regulation of AI can be achieved without stifling innovation, successfully addressing online harms to children. With bipartisan support and backing from major tech companies, the law criminalizes the publication of nonconsensual intimate images online, requiring platforms to act swiftly in removing such content.
The United States is on the verge of enacting a federal measure that would impose a ten-year ban on state regulations concerning artificial intelligence (AI), a provision included in President Trump’s ‘One Big Beautiful Bill Act (OBBBA) 2025.’ This decision has sparked significant opposition from various lawmakers and civil society groups, who express concerns over the potential risks to consumer protection and regulatory oversight.
Philosophical principles and regulatory frameworks have often dominated discussions on AI ethics, failing to resonate with key decision-makers. This article identifies three primary drivers—top-down regulation, market pressure, and bottom-up public influence—that are propelling the adoption of responsible AI as a business necessity.
The Chief AI Officer (CAIO) is a pivotal role responsible for embedding AI across all functions of an organization, transforming it into a strategic business driver. As businesses increasingly recognize the importance of AI, the CAIO must align emerging technologies with corporate objectives and manage complex risks associated with their implementation.
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