While many organizations approach AI governance as a technical challenge, the key to effective risk management starts with people, argues Skillsoft’s Asha Palmer. By understanding how employees at every level interact with AI in their daily work, companies can build more practical and granular risk frameworks. This employee-centric approach makes AI governance both more accurate and more actionable for the workforce who must implement it.
Artificial intelligence (AI) has quickly shifted and reshaped parts of our jobs and the industries we work in. But while AI has become a household term, it’s been around for decades, tracing back to the mid-20th century when the term was first uttered in a Dartmouth workshop. Since then, AI has powered many of the technologies we use, including facial recognition and digital assistants on our smartphones, personalized recommendations across our favorite streaming services and the best route to take in a ride-share, most of which have existed for nearly a decade.
As AI and generative AI (GenAI) have advanced — at breakneck speed over the last year — the technology has presented both an opportunity for innovation and increased calls for regulation and governance. Earlier this year, the European Parliament adopted the EU AI Act, landmark legislation that aims to…
