Why women on LinkedIn are masquerading as men (nationalpost.com)

A recent experiment by mental health professional Megan Cornish has drawn attention to gender bias on LinkedIn, revealing that women can significantly increase their visibility on the platform by altering their profiles to appear more masculine. After using ChatGPT to rephrase her content with "male-coded" language, Cornish reported a fourfold increase in impressions within a week. Her viral post prompted numerous women to share similar experiences, suggesting that gender stereotypes may be embedded in LinkedIn's algorithms, despite the company's assertions that its AI systems do not utilize demographic information like gender. This development is significant for the AI/ML community as it highlights the potential biases present in algorithmic systems that impact professional visibility and opportunities. Experts argue that while LinkedIn claims neutrality, societal biases may inadvertently influence algorithm behavior, affecting users' interactions with the platform. The situation raises broader questions about the structural inequities women face in male-dominated professions and underscores the need for increased scrutiny of AI-driven platforms. As LinkedIn continues to evolve with large language models in its systems, the conversation around algorithmic bias and its societal implications is more critical than ever.