According to the General Union of Workers (UGT) in its report "Women and Technology 2018," the gender pay gap in information technology-related jobs increased by 2.5% in 2017 compared to 2016. Furthermore, the study "The State of Wage Inequality in the Workplace" indicates that in 63% of cases, salary proposals are higher for men than for women in the technology sector, for the same position and at the same company. The study reveals that companies offer women between 4% and 45% lower starting salaries for the same work. At the same time, the data shows that women tend to underestimate their value in the technology market, as they do not negotiate their starting salaries, and when they do, they tend to negotiate a starting salary 6% lower than that negotiated by men.
The absence of women in artificial intelligence drives gender bias
The lack of women and diversity in general in technology buy phone number list development teams, and in artificial intelligence (AI) in particular, has direct consequences for the results of technological innovation and for society . New machines and applications are programmed based on algorithms and data established by ICT professionals. These teams are likely to transmit gender, age, race, and other biases existing in society, turning AI devices into potential replicators, even magnifiers, of existing discrimination.
The numerous existing examples of bias in AI reveal the need to take action against the lack of diversity in technology, and specifically in the AI sector. The challenge of configuring algorithms free of gender bias , in AI in the broadest sense of the term, must be addressed from two perspectives. The first involves its very configuration, the processes where human intervention is involved. The second involves how they reproduce—learning from the environment and reproducing biases—and introducing mechanisms to correct them.
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