Need more women in AI for inclusive development of the technology

economictimes.indiatimes.com:

Sindhu Gangadharan

In an era of rapid technological evolution, diversity in thought and perspective is the catalyst for ground-breaking discoveries. This holds especially true when it comes to transformative technologies like artificial intelligence — and related advanced analytics — which represent the economic future.
Since AI is uniquely poised to script the advancement of the human race, it calls for a diverse group of professionals to ensure a much broader perspective, prevent biases and enhance the technology’s ethical standards.

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Here, diversity is not just about fairness, but also becomes a strategic imperative. Therefore, recognising and promoting women in the field becomes crucial for fostering innovation, mitigating bias and building a more equitable and inclusive future.

In fact, many biases can actually be traced back to a lack of diversity in machine learning training datasets and on tech development teams.
In order to eliminate this, we need an algorithm designed by a diverse representation of leaders. For instance, more diversity in AI research and development teams can mitigate ethical issues such as low accuracy of facial recognition technologies for dark-skinned people or bias against women in recruiting