«Is Artificial Intelligence sexist?» is the title of a new episode of Base Pública’s Poderosas, a show hosted by journalist Isabel Tolosa, with the participation of experts Paula Aguirre, Cenia’s main researcher and academic of the Institute of Mathematical and Computational Engineering (IMC UC); Gabriela Arriagada Bruneau, Cenia’s associate researcher, academic at UC’s Instituto de Éticas Aplicadas UC and at IMC UC, and Mónica Retamal, executive director at Fundación Kodea.
Click on the following link to see episode #10 of Poderosas: Is artificial intelligence sexist?
Why is it urgent to act to reduce the gender digital divide? ? This gap, referring to the disparity between men and women in the access and use of information and communication technologies (ICT), may have several negative consequences for the development of new technologies based on artificial intelligence and the future of society in general.
? ?Biases in training data: AI relies on large data sets to learn and make decisions. If there is a digital gender gap, it is likely that less data will be available about women’s experiences and perspectives, as is currently the case. This leads to gender biases being present in the development of new algorithms, having detrimental consequences in a number of areas.
?? Scarcity of diverse talent in AI: If women have less access to education and opportunities in the technology field, there may be a shortage of diverse talent in the AI industry. Gender diversity is important for developing more equitable and responsive AI systems, as different perspectives can help identify and address biases and prejudices.
? Increasing gender gap: In an increasingly technology-driven world, people with digital skills have more opportunities for employment and participation in the digital economy. If women have less access to these skills and opportunities, they may be marginalized in terms of employment, income and social participation.
? Perpetuation of gender stereotypes: AI is increasingly being used in areas such as advertising, entertainment and automated decision making. If the digital gender gap is not addressed and reduced, stereotypical and biased representations may be perpetuated in new AI systems. This may reinforce traditional gender roles and challenge gender equity in society.
