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Gender Bias in AI: How Technology Can Exacerbate Inequality

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by Giorgi Kostiuk

3 hours ago


A recent warning from the International Labour Organization indicates that generative AI threatens women's jobs. This article explores the implications of these changes and potential solutions through blockchain technology.

Impact of AI on Women in the Labor Market

Generative systems not only misrepresent women but also create a world where women's authority is absent. For instance, image models still predominantly portray male faces as leaders and women as caregivers. Statistics indicate that nearly 10% of jobs held by women are at risk from AI technologies, which translates into thousands of positions. The underrepresentation of women in AI development only exacerbates this issue, with only 29.4% of women holding documented skills in this area.

The Role of Blockchain in Transparency

Blockchain holds potential for increased transparency and control. The use of distributed ledgers can expose biases in the data processing stages. Women may gain access to irrefutable digital credentials that recognize their education and work experience, making them less vulnerable to biased algorithms. Smart contracts can be utilized to enforce equal pay automatically, providing public proof of parity.

The Need for Mandatory Transparency in AI

The necessity for transparency has become a pertinent issue for legislative discussion. Lawmakers should require any AI models used in hiring or lending to disclose their training data provenance. Implementing such measures would ensure fairness in workplaces and prevent discrimination. Discussions about blockchain adding complexity are misplaced since hidden complexities already exist in traditional systems.

Proposed measures could help ensure greater fairness in the labor market. Integrating blockchain technology could make algorithms more transparent and accountable, thus promoting the improvement of women's social positions and addressing biases.

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