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Stop the AI Gap
Hardcover
Business GeneralManagementGeneral Computers
Publisher: Bridge Publisher
Published: Feb 2 2026
Pages: 146
Weight: 0.96
Height: 0.56 Width: 6.00 Depth: 9.00
Language: English
The future of work is being written line by line, and algorithm by algorithm. Who gets to shape it?
Artificial Intelligence is rewriting the rules of leadership, opportunity, and power. Yet beneath its promise of progress lies a profound danger: the risk of encoding yesterday's inequities into tomorrow's technology. Stop the AI Gap: Prevent AI from Expanding Gender Inequities in the Workplace is both a wake-up call and a roadmap for rewriting that future with inclusion at the center.
Drawing on innovative research, global workforce data, and real-world stories, Dr. Simon explores how algorithmic bias, automation, and exclusionary design threaten to magnify long-standing workplace disparities. From biased hiring tools to leadership pipelines that overlook women's potential, she exposes how invisible decisions inside machine learning models can shape careers, culture, and compensation.
Across ten compelling chapters, Dr. Simon blends practical frameworks and leadership insights to help women and organizations close the AI gap before it widens further. You'll discover:
- How bias is coded into algorithms, and how to dismantle it through ethical design.
- Why women must be involved in every stage of AI governance, from data to deployment.
- How to align innovation with equity so progress lifts everyone, not just a privileged few.
- Practical steps for reskilling, advocacy, and visibility in AI-driven workplaces.
Written for women at every career stage, from Gen Z professionals entering the workforce to senior executives shaping global strategy, Stop the AI Gap empowers readers to transform awareness into agency. It challenges leaders to ensure that AI adoption is not just efficient, but ethical; not just intelligent, but inclusive.
This is more than a conversation about technology, it's a movement for fairness, leadership, and legacy. Because the algorithms of tomorrow will define more than data, they'll define destiny. The question isn't whether AI will change the workplace. The question is whether it will include women in that future.
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