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Future tech for women's empowerment

This article is authored by Ranjini Chakraborty, people leader, Giesecke+ Devrient, India

Published on: Sep 14, 2024 04:34 PM IST
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A study by the Berkeley Haas Center for Equity, Gender and Leadership analysed 133 Artificial Intelligence (AI) systems across different industries and revealed that about 44% of them have gender bias. Where does this come from? From human-biases because AI systems are human creations. Gender bias in AI starts with prioritising gender equality as a goal, as AI systems are conceptualised and built. Currently, there are only 30% women working in AI as per the Global Gender Gap Report of 2023.

Women empowerment (Photo by Freepik)
Women empowerment (Photo by Freepik)

The gender-bias has an impact on the assessment of data for misrepresentation, provides data that is representative of diverse gender experiences, reshaping the teams developing AI to make them more diverse and inclusive. As per a prediction by the World Economic Forum, AI may replace around 85 million jobs by 2025, but it will also create close to 97 million new roles. Undoubtedly, AI presents a significant potential to be an equaliser in the tech industry by facilitating unbiased hiring practices and opening remote and flexible work opportunities.

First things first, why do we need women in AI? Here are some reasons why:

  • Diversity drives innovation and will be instrumental in solving critical problems with diverse viewpoints. Further, it helps if the communities/fraternities can represent themselves instead of others approximating on their behalf
  • Women are considered more visionary and hence, might offer a depth in perspectives.
  • It will help keep the entrenching bias and bad behaviour of AI systems at bay.
  • Women i.e. the other half of the population advancing in the world of tech industry will help in minimising the gender gap.
  • Women can significantly contribute to the talent pool of skilled professionals

The benefits are many. Even then, only 40% of women actively utilise AI in their professional roles, while 63% report a lack of AI skills and training as per Skillsoft’s 2024 Women in Tech Report. But, if we close this gap, there are diverse ways AI can support women entrepreneurship. Some of the options are women pursuing a role as researchers, data scientists, engineers, advisory capacities in ethical AI, and product managers.

In nutshell, the need is for more of women representation in AI related fields and jobs and to overcome that we must encourage & present opportunities for women and girls in STEM — science, technology, engineering and mathematics— education and training. This would just be instrumental in negating the gender imbalance in help us all to move towards seismic opportunities.

This article is authored by Ranjini Chakraborty, people leader, Giesecke+ Devrient, India

 
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