The Good Girl Paradox: Navigating AI in the Modern Workplace
Theresa Fesinstine
Flattening the AI Learning Curve for HR Teams | StartUp Advisor & Keynote Speaker | Top Voice AI
By Theresa Fesinstine
In a world where AI is reshaping how we live and work, it’s impossible to ignore how gender dynamics come into play. So here's a question I've started asking lately: Are women less inclined to use AI because of cultural pressures to fit the 'good girl' stereotype?
A recent article by The Economist, (08/21/24), delves into the notion of why women might shy away from AI. It suggests that a blend of societal pressures and ingrained perceptions could be at play. But what does it truly mean to be a "good girl" in the context of today's rapidly evolving technological landscape?
Traditionally, the label of a "good girl" has been associated with adherence to rules and a proactive pursuit of the "right" thing. It's a moniker that carries the weight of expectations—one that often discourages risk-taking and innovation.
Women are conditioned, from a young age, to play by the rules, stay within the lines, and ensure that their actions align with what society deems appropriate. This conditioning often means avoiding shortcuts, prioritizing diligence over efficiency, and staying committed to traditional methods even when newer, more effective tools are available. This same paradigm might suggest that embracing AI, with its perceived shortcuts, is akin to cheating. But is this perception grounded in reality?
AI, in its essence, is a tool—a powerful one at that. It has the potential to revolutionize industries, streamline workloads, and democratize information.
Yet, the hesitation to employ such technology may stem from a broader narrative that equates reliance on AI with a lack of authenticity or effort. For many women, particularly those in traditionally female-dominated fields like HR, AI might be perceived as undermining the values of hard work and personal touch that have long been considered essential to their roles. This narrative, particularly pervasive among women, can be a barrier to embracing AI as an ally in the workplace.
People Teams/HR, with its focus on people and culture, is a discipline primed for the efficiencies that AI can offer—from reducing administrative burdens to enhancing employee experience through data-driven insights.
Yet, if HR professionals view the use of AI as a "cheat," they may inadvertently hold back the potential of their own work, ultimately slowing down innovation in areas where it could make the most difference. The reluctance to adopt AI tools means missed opportunities for improving hiring processes, enhancing diversity through unbiased algorithms, and increasing overall productivity. This hesitation also impacts how HR professionals are perceived within their organizations, potentially limiting their influence and ability to drive strategic change.
It's crucial to recognize that the reluctance to leverage AI is not merely a question of ethics or morality. Instead, it is deeply intertwined with societal constructs that dictate the roles and behaviors deemed appropriate for women.
The idea that "good girls" don't cut corners or seek undue advantage can subconsciously influence decisions, leading to an underutilization of AI among women. Furthermore, this mindset can also foster an environment where women feel that relying on technology diminishes their value. The belief that they must prove themselves through sheer effort, rather than by working smarter, can be a significant psychological barrier.
However, the tide is shifting. As more women enter tech-driven fields and break traditional molds, the narrative is being challenged. Women are increasingly harnessing AI to amplify their voices, enhance their capabilities, and level the playing field. In doing so, they are redefining what it means to be a "good girl"—not one who shies away from innovation, but one who embraces it with integrity and purpose. These women are showing that adopting AI is not about taking the easy route; it is about being strategic, innovative, and forward-thinking. They are demonstrating that leveraging AI can enhance creativity, free up time for higher-value tasks, and even foster more meaningful human connections by reducing the mundane aspects of work.
Moreover, organizations play a critical role in reshaping this narrative. When companies create environments that encourage the adoption of AI without judgment, they empower their employees—especially women—to explore these tools without the fear of being perceived as cutting corners. Training programs that emphasize AI as an enabler of growth, rather than a replacement for human effort, will help.
By framing AI adoption as a means of enhancing, rather than diminishing, the value of an individual's contributions, organizations can foster a culture of empowerment and innovation for all employees!
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The Good Girls using AI
It's also important to highlight the stories of women who are leading the way in AI adoption. Role models and mentors who actively use AI to advance their work can inspire others to follow suit. When women see their peers using AI to drive success, it helps dismantle the notion that relying on such tools is somehow "wrong" or "cheating." Instead, it becomes a testament to their resourcefulness and ability to adapt in a rapidly changing world.
Some amazing Good Girls of AI that I want to highlight:
Angela Cheng-Cimini 鄭婷婷 Stacey Nordwall (she/her) Amanda Halle Tracie Sponenberg Jo McRell Beth White?? Erin Grau Lydia Wu Ai Ling Lee Isabelle Bichler-Eliasaf Jaclyn Rice Nelson Rebecca Taylor ? Jen Kirkwood Manuela Veloso Nichole Sterling Helen Lee Kupp Kate O'Neil Tara M. Batemon Madelaine Coyle Kelly Cassaro Mia Shah-Dand Patrícia Souza (She/Her)
The Tough Truth: the conversation around women and AI is not just about technology—it's about redefining societal norms and empowering individuals to make choices free from the constraints of outdated stereotypes.
As we continue to build the future of workplaces,
let us champion a future where being a "good girl" is synonymous with being bold, innovative, and unapologetically intelligent.
This shift requires a collective effort—from individuals challenging their own biases, to organizations fostering supportive environments, to society at large recognizing and celebrating the diverse ways in which women contribute to technological advancement.
Embracing AI does not make someone less diligent or less authentic—it makes them adaptive, forward-thinking, and equipped for the future. It's time to redefine what it means to be "good" in the context of work and technology, and to ensure that everyone, regardless of gender, feels empowered to harness the tools that will shape the world of tomorrow.
About the Author
Theresa Fesinstine is a expert in People and Culture with over 27 years of experience leading HR, Culture and People Teams. She is a LinkedIn Top Voice in Artificial Intelligence, and founder of peoplepower.ai , a consultancy with a mission to flatten the AI learning curve for HR professionals.
She works with companies of all sizes and industries - in fact being agnostic in these areas allow her to widen the berth of her mission.
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Speaker | Facilitator | Coach - I bring lessons from the sidelines of sports to deliver powerful insights on leadership, culture, and employee engagement that help businesses attract and retain top talent.
1 周I love this perspective! This good girl image truly holds so many women back from leadership and burns many out quickly. Thank you for sharing this perspective on AI and how we can better change the narrative shift to empowered women!
Learning supporter extraordinaire! Ideator! GenAI mentor! Educationist!
2 周Thank you for the shoutout Theresa! The good girl narrative has too often received a negative view. You really showcased why women should be embracing the AI revolution!
HR Generalist & DEIB Advocate ◆ Office & Project Manager ◆ Admin. Witch
2 周I would add that women and girls, like many other minoritized groups are: 1) not being properly represented by AI, or 2) noticing any benefits from the outputs of it's use in some HR processes as recruitment, were biases in AI powered tools are perpetuating opressions. And therefore not willing to contribute with their use.
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3 周I'm proud to be a 'BAD girl??'
Very insightful read, thanks Theresa!