The Perils of Bias in Workplace GenAI
In the rapidly evolving landscape of tech, Generative Artificial Intelligence (GenAI) is becoming a central player, especially in sectors like customer service, content creation, and human resources.
While GenAI offers groundbreaking efficiencies and capabilities (and excites the sci-fi nerds in all of us), it also poses unique challenges, particularly when it comes to biased outputs. This issue, often summarized by the old adage “garbage in, garbage out,” reflects the reality that AI systems can only be as unbiased as the data they are trained on.
In the digital era, artificial intelligence (AI) is becoming increasingly intertwined with our daily lives, especially in the ways we do our work. From voice assistants to chatbots to art generators, AI has found its way into various industries, transforming the way work gets done. As AI continues to advance, it raises important questions about its ethical implications and potential impact – good and bad – on the workplace. The bad should not be ignored. How much damage might be done to your organization if AI was not used responsibly by an employee?
