Sheryl Sandberg’s Lean In is fighting the gender gap in AI adoption
Lean In, the feminist organization founded by Sheryl Sandberg, has a new focus: fighting the gender gap in AI adoption. The nonprofit has put out new research that digs into how women use AI in the workplace relative to their male counterparts, which captures an adoption gap that has surfaced in previous surveys . In a survey of over 1,000 adults, Lean In found that 78% of men had used AI in the workplace, when compared to 73% of women. Men also reported using AI more regularly: About a third of men used AI daily, while only 27% of women did the same. This might not seem like a major difference at the moment. But Sandberg argues that this gap is likely to grow over time if it goes unaddressed. “These differences—which are not that small, but are smallish now—will compound over time, which is why we think it’s so important for people to understand them and acknowledge them,” she told Fast Company . Part of the reason for this gap, according to Lean In’s findings, is that many women are more cautious about the ethical implications of using AI at work. Women were 32% more likely to feel concerned that they would be perceived as cheating by using AI—and they also tended to steer clear of AI over concerns about accuracy and ethics. Some of them were also worried about the disproportionate impact that AI-related layoffs could have on women. “Don’t get us wrong. It is great that women
Sheryl Sandberg’s Lean In is fighting the gender gap in AI adoption
Lean In, the feminist organization founded by Facebook’s Chief Operating Officer Sheryl Sandberg, has shifted its focus to addressing the gender gap in AI adoption. The nonprofit has recently released new research that examines how women use AI in the workplace compared to their male counterparts, revealing an adoption gap that has been observed in previous surveys. A survey conducted by Lean In among over 1,000 adults found that 78% of men had used AI in the workplace, compared to 73% of women. Men also reported using AI more frequently: about a third of men used AI daily, while only 27% of women did the same. While this difference may not seem significant at the moment, Sandberg argues that it will grow over time if left unaddressed.
“These differences—which are not that small, but are smallish now—will compound over time, which is why we think it’s so important for people to understand them and acknowledge them,” Sandberg told Fast Company. She emphasizes the need for awareness and action to prevent the gap from widening.
The research highlights that part of the reason for this gap lies in the ethical concerns expressed by many women about using AI at work. Women were 32% more likely to feel that they would be perceived as cheating by using AI, and they were also more hesitant to adopt AI due to worries about accuracy and ethics. Some women also expressed concerns about the disproportionate impact that AI-related layoffs could have on their gender.
“Don’t get us wrong. It is great that women have ethical concerns and care about cheating,” says Bridget Griswold, Lean In’s recently appointed CEO. “But we really worry that’s going to inadvertently cause women to use AI less.” Griswold acknowledges the importance of ethical considerations but emphasizes the potential consequences of these concerns on women’s professional growth.
Lean In’s research suggests that this gap is already affecting women’s career trajectories, as the same gender biases that have historically impacted women’s advancement are now influencing AI adoption in the workplace. “We also found that women feel differently about AI because they are treated differently in regards to AI, and are spoken to differently,” Griswold says. This treatment and communication style can create a barrier for women, making them less likely to embrace AI technologies that could benefit their professional development.
The organization’s findings underscore the need for targeted interventions to encourage women to adopt AI more effectively. Lean In plans to launch initiatives aimed at addressing these concerns and promoting a culture that values both ethical AI use and equitable adoption. By fostering an environment where women feel comfortable using AI without fear of judgment or bias, Lean In hopes to bridge the gap and ensure that the benefits of AI are accessible to all genders.
In addition to its research, Lean In is working to raise awareness about the gender gap in AI adoption through educational programs and partnerships with companies. The organization is also collaborating with experts in AI ethics to develop guidelines that promote responsible use of technology while supporting women’s professional growth.
Sandberg and Griswold are calling for a collective effort to address the gender gap in AI adoption. They believe that by understanding and addressing these disparities, the technology industry can create a more inclusive and equitable workplace for everyone. As AI continues to transform industries and reshape workplaces, it is crucial to ensure that all genders have an equal opportunity to benefit from its advancements.
In conclusion, Lean In’s new focus on fighting the gender gap in AI adoption highlights the importance of addressing systemic biases and fostering an inclusive culture in the technology industry. By promoting ethical AI use and encouraging women to embrace these technologies, the organization aims to level the playing field and create a more equitable future for all. The findings from the recent survey serve as a call to action for companies, policymakers, and the broader technology community to prioritize gender equality in AI adoption and integration.
