- Chief Compliance Officer and VP of Legal Affairs, Arrow Electronics
By 
Aly McDevitt2019-11-20T20:56:00
Machine learning isn’t something that’s going to happen—it’s already happened. Ali Shah, head of tech policy at the U.K. Information Commissioner’s Office, discusses how artificial intelligence will impact regulators.
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The U.K. Information Commissioner’s Office released guidance to help organizations explain how AI is used in decision making and how the technology uses personal data to form judgments.
Big Tech can breathe a sigh of a relief that the mechanisms it uses to transfer data outside of the European Union to “third countries” provide sufficient privacy protection, according to a key advisor to the EU’s top court.
Three months after a U.S. district judge declared Google to be running a monopoly, the Department of Justice recommended the tech giant be forced to sell off its popular Chrome browser as part of an effort to resolve antitrust concerns and reshape the power of tech’s biggest companies.
Data governance has become a key concern for companies, especially when the EU AI Act and General Data Protection Regulation have put a premium on handling data responsibly and ensuring that artificial intelligence does not cause harm.
The era of artificial intelligence adoption is testing the old ways of doing compliance, underscoring the need for continuous monitoring. Compliance isn’t a one-and-done activity, but sometimes organizational incentives and goals fail to prioritize the importance of this.
While companies are exploring and building artificial intelligence technology, lawmakers and regulators are trying to identify what ground rules they need to set. These guardrails are what companies and governments alike believe are essential parts of ensuring safe and responsible use of the technology.
