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Alternative Futures Forecast: Women Leaving Workforces & Generative A.I.

Methodology Note: Alternative Futures Forecasts 01-04

X-Axis Women Leaving Non-Domestic Workforces Intersected with Y-Axis Accelerating Use of Gen AI

To challenge the flaws in conventional forecasting methods, Girl Security’s forecasts are based on drivers whose intersections fail to receive mainstream attention. The drivers themselves are derived from trends that Girl Security’s communities identify as being of special concern to them, rather than from trends based on traditional economic and societal indicators. For more on the systemic data gaps and flawed assumptions embedded in conventional futures forecasting that our approach seeks to mitigate, please see the introduction to Girl Security’s Alternative Futures Forecasts.

Key Findings:

These are the key findings from the results of Girl Security’s first Alternative Futures Forecast. Forecasts 01-04 project futures that would result from the intersection of two trends that are of pressing concern to our community. The trends themselves have been covered widely in mainstream media, and the table below includes offers additional explanation.

Y Axis: Accelerating Use of Generative AI in Decision Processes BroadlyX Axis: Gen Z Women Leaving Non-Domestic Workforces
All generative AI models rely on bodies of data to train them. Ultimately, AI models will generate new content presumed to be indiscernible from content created by humans.The number of stay-at-home mothers almost doubled from 15 to 25% in 2023. Affordable childcare is a main reason cited for leaving the workforce.
The roll-back of women’s autonomy and reproductive rights is forcing women into uncompensated and unsupported parenthood.
AI is taught to discern patterns, anomalies, etc., via layers of neural networks that emulate the synapses between neurons in a human brain.The roll-back of women’s autonomy and reproductive rights is forcing women into uncompensated and unsupported parenthood.
However, the training datasets are limited to the same sets of sources – the internet, social media, books, image libraries, and anything previously written or recorded, which Girl Security noted in its first Methodology Note vastly underrepresents the history of women and women’s experiences and needs. For example, only 0.5% of recorded histories represent, or were written by, women.The paltry infrastructure support to stay-at-home parents, such as access to health care and available public transportation aligned with their schedules, is already overwhelmingly insufficient to meet the needs of stay-at-home parents.
Using the term “human” is misleading because it makes indistinct the fact that brains reside within men, women, and gender minorities. Genders have evolved over half a million years against different threat contexts and have developed widely different survival responses, neurological patterns of behavior, and brain anatomy. But as noted, the data is derived almost exclusively from observations of men by men, skewing the results and cumulative knowledge.Stay-at-home parents have no source of retirement or savings planning, making them vulnerable to poverty as they age, despite their having made substantial uncompensated contributions to the health, training, and education of the next workforce.

Another way of looking at this point is that for parents who can afford childcare and pre-schools, the people who are paid to monitor their children’s health and provide early trianing and education will have retirement benefits and savings.
Women hold about 35% of tech jobs in the US; Women of color are also underrepresented in tech, with Asian or Pacific Islander women making up 7% of the IT workforce, Black women making up 3%, and Hispanic women making up 2%.The rate of domestic violence continues to increase, not decrease, despite 30 years of the Violence Against Women Act. Without resources to enable single-parenting, victims are forced to remain in abusive relationships.
Women’s representation in tech sector C-suite roles, where strategic decision-making occurs, has decreased to 11.8% in the past year.The skills required to parent are not given any credit in non-domestic workforces, leaving single parents un-, or under-, employable should they need to join the non-domestic workforce.
Meta’s appointment of four white men to lead its advisory council on AI products is a typical outcome to be expected from the lack of recognition that the default data – is a choice – and is not an accurate representation of society, all human history, or all data.Mothers taking on more household and family responsibilities than even during the height of the COVID pandemic; not-surprisingly, nearly 46 percent of today’s mothers are in therapy. 49% say they are burned out by their responsibilities and 54% say they are having less sex. Sleep is an increasing priority.
Girl Security’s Analysis: Generative AI’s potential future is, at best, on a course of falling well short of what it could be. At worst, it is on a path toward negating the difference between genders, with too many negative implications of that result to list.Girl Security’s Analysis: Young mothers are, at best, on a path of prioritizing their mental health and physical needs over the desires of those who aren’t contributing equally while still serving humanity as stay-at-home parents. At worst, they are facing a future trapped in unfulfilling relationships and burdened by responsibilities without the support they need.

The Four Alternative Futures that Result from the Intersection of these Drivers

Alternative Futures Forecast: Introduction