Women in Charge: Redefining AI for an Unbiased Future

AI systems inherently absorb biases, underscoring the need for female input to refine these models and address biases from real-world contexts to emerging Web3 and blockchain technology scenarios.

« It's a risk that we women will fall further behind because there are no women in the AI entry process. That's important to keep in mind», commented Silvina Moschini, CEO of Unicorns Inc. and founder of Unicoin to Bloomberg Line.

«The gender bias reproduced by these tools seems to contradict the advances registered on many issues and is especially discouraging for female leadership», Moschini commented in a column for Forbes Argentina.

These biases manifest in various ways, such as language models perpetuating stereotypes, like associating'nurse' with femininity and'doctor' with masculinity. Additionally, in image generation tasks, most responses depicting investors and CEOs exclusively feature male figures.

This pattern mirrors real-world statistics where women hold a mere 16% of faculty positions in top business schools, lead only 6 out of the 107 major U.S. financial institutions, occupy just 4.9% of senior roles in venture capital firms, and 10% in private equity. Within Web3, only 13% of founding teams include women, with a mere 3% comprising only female talent.

While talent transcends gender boundaries, equal opportunities remain elusive. For those aspiring to take charge of their financial destinies and delve into wealth accumulation and investment diversification, AI emerges as a pivotal tool. However, to harness its full potential, calibration is imperative.

Addressing the Gender Gap in AI

Harvard Business Review highlights the necessity for AI systems—including language models and gender recognition algorithms—to undergo training with diverse and unbiased criteria, underscoring the importance of integrating more women into machine learning processes. Diverse teams excel at recognizing biases and addressing issues in data interpretation, solution testing, and decision-making.

Yet, bridging this gap requires tackling another disparity: the underrepresentation of women in Artificial Intelligence and Big Data studies, with only 33.7% female enrollment, according to the World Economic Forum's Global Gender Gap Report 2023. This powerful technology will reshape our collective future, and women must have a seat at the decision-making table.

On the bright side, there's a notable shift underway: women are breaking stereotypes and becoming increasingly active in technology, AI, and blockchain. The presence of female role models in STEM is driving up interest among girls, with participation rates climbing from 32%

to 52%. Despite significant disparities, women already make substantial contributions, accounting for about 45% of AI publications globally. Additionally, the proportion of female cryptocurrency owners surged to 37% in 2023, up from 21% in 2021.

Women possess the potential to take on more prominent roles in shaping AI initiatives, particularly in the financial sector, which is crucial for achieving economic independence. AI serves as a vehicle for inclusion, providing access to financial education, capital, and investment opportunities.

Next-generation cryptocurrencies like Unicoin emerge to address the need for transparent and stable digital assets in this envisioned future. Women can explore these avenues, leveraging the power of artificial intelligence for their financial well-being.

« If we were able to break through the"glass ceiling » and make our mark in the emerging digital currency ecosystem, I am convinced that we will also be able to own the most disruptive technology of the present", Moschini concluded.