The Norton Rose Fulbright data protection blog outlines how organisations deploying artificial intelligence are facing an increasingly complex global regulatory environment. As organisations continue with their roll-out of artificial intelligence, they must navigate new regimes that explicitly target this technology alongside long-standing data protection, cybersecurity and consumer protection laws. The firm positions its Data Protection Report as a source of legal insight that helps businesses anticipate and manage these risks at what it describes as the speed of technology.
A central reference point is the emergence of artificial intelligence specific legislation in major markets. The blog notes that AI-specific laws like the EU AI Act already applicable and new AI-specific laws are proposed, adding additional layers of compliance on top of existing obligations. This reflects a shift from treating artificial intelligence solely through general privacy or technology rules to creating bespoke frameworks that govern issues such as model transparency, risk classification and automated decision making. Authors across multiple offices, including contributors from Canada, France, Germany, Hong Kong, the United Kingdom and the United States, underscore that the trend is not confined to one jurisdiction.
Beyond the global artificial intelligence regulation piece, the wider set of highlighted posts on the blog reinforces how regulators are expanding their focus on digital risk and automation. Items flagged on the same page include new California rules on cybersecurity audits, revised anti employment discrimination regulations that now explicitly cover artificial intelligence tools in hiring, and analysis of how artificial intelligence is transforming mergers and acquisitions workflows. Taken together, the selection of articles signals that companies can no longer treat artificial intelligence as a purely technical deployment, and instead must embed legal, compliance and governance planning into every stage of their artificial intelligence strategies.
