- Chief Compliance Officer and VP of Legal Affairs, Arrow Electronics
The “move fast and break things” mantra of the tech world rubs up against a more rigid banking industry as the two find their way in the cloud—but is more legislation really necessary?
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The Department of Justice’s top antitrust official warns tech giants the government is being “extra vigilant” about sniffing out anticompetitive behavior deriving from mass data collection, mindful of its harmful effects on both users and competitors.
Eight business executives, including the billionaire owner of Indian energy company Adani Group, were charged with fraud for their alleged roles in a multi-million bribery scheme to win a solar energy contract in India.
Dr. Mehmet Oz, President-elect Donald Trump’s pick to lead the Centers for Medicare and Medicaid Services, has a mandate from Trump to “take on the illness industrial complex” and to cut costs.
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.
