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Coffee With Developers • Aug 30, 2026

Women in AI - Nalini Garg

Nalini Garg

Nalini Garg warns that relying on generative AI outsources your critical thinking. Discover how to conquer the AI leadership gap, demand fair pay, and outsmart automated hiring.

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#1 about 3 min

Mission and vision behind the Women in AI organization

Creating a global community to support female voices and leadership in artificial intelligence.

#2 about 3 min

Addressing diversity drop-offs and career breaks in technical leadership

Returning to the corporate world after family responsibilities requires overcoming imposter syndrome and systemic barriers.

#3 about 7 min

Navigating market biases and negotiating fair technical salaries

Combating historical liabilities around family leave requires leveraging salary transparency tools and direct negotiation strategies.

#4 about 3 min

Combating traditional gender roles with continuous community advocacy

Reversing the regression toward traditional gender expectations involves amplifying female voices and creating supportive networks.

#5 about 3 min

Utilizing accessible education and hackathons for career entry

Free vendor courses and local hackathons provide practical experience and networking without financial barriers.

#6 about 3 min

Adapting resumes for AI hiring agents and applicant tracking

Consolidating experience into a concise format helps bypass automated screening tools while personal outreach secures interviews.

#7 about 5 min

Bypassing imposter syndrome during job applications and networking

Introverted candidates can overcome strict job descriptions by focusing on relatable narratives rather than checking every requirement box.

#8 about 4 min

Requesting internal training and establishing clear career ladders

Asking employers to fund specialized tool training demonstrates a commitment to long-term career growth and project success.

#9 about 5 min

Designing empathetic artificial intelligence solutions for daily life

Non-technical founders often focus on automating practical chores and improving mental well-being rather than purely technical challenges.

#10 about 3 min

Preserving open source ideals against closed corporate technology

Maintaining open source technology is essential to ensure artificial intelligence serves humanity rather than just corporate profit.

#11 about 3 min

Balancing generative productivity tools with human critical thinking

Relying entirely on generative models for daily tasks risks outsourcing the unique human perspectives needed for complex problem-solving.

#12 about 2 min

Overcoming technical overwhelm through continuous daily learning habits

Dedicating small amounts of time daily to learning prevents burnout and keeps skills relevant in a rapidly evolving market.

#13 about 4 min

Fostering hope through professional mentorship and allyship networks

Engaging with supportive colleagues and active communities counteracts negative experiences and opens doors to new opportunities.

Matching moments

3:26 min

Setting the context for female leadership in artificial intelligence

Alexandra Wudel Alexandra Wudel +2 · World Congress 2025

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:51 min

Developing critical leadership skills for AI integration

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:23 min

Addressing the emotional layers of workplace AI transformation

Daria Rudnik Daria Rudnik · Europe 2026 Virtual

2:56 min

Addressing bias and gender representation in training data

Răzvan Ion · LIVE

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

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