- Chief Compliance Officer and VP of Legal Affairs, Arrow Electronics
In sum, federal agencies should reject “rigid, design-based regulations” in favor of flexible approaches to artificial intelligence applications.
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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.
Jumping into an arena the private sector has trailblazed, the federal government is redoubling its efforts regarding the development of artificial intelligence. On Feb. 11, President Trump announced a new initiative intended to help the U.S. gain dominance in deployments of the emerging technology.
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.
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.
