- Chief Compliance Officer and VP of Legal Affairs, Arrow Electronics
A recent roundtable on managing resources while confronting regulatory change looked at the importance of balancing machine learning and artificial intelligence with human intelligence and intervention.
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A recent poll of International Compliance Association members revealed a perhaps surprising appetite within the profession for seizing expanding sustainability responsibilities.
Recent comments by Facebook’s top executive in charge of developing AI reignite the debate over whether regulators should be more focused on reining in the technology itself or just the way it is used.
With various levels of defined risk and the potential for steep fines for offenders, the European Commission’s recent proposal to ensure trust in the use of artificial intelligence should receive urgent attention from industries beyond Big Tech.
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.
