Economic Impact of Generative AI on Marginalized Communities
Welcome to Data Science Dojo's weekly newsletter, "The Data-Driven Dispatch".
Change is usually uncomfortable. But is it always bad? Well, no!
Tech revolutions in the history of mankind have made people anxious about losing jobs. Take the automobile industry as an example. It caused a stir among the people in the horse carriage industry facing strong condemnations.
However, as we look at it retrospectively, it led to the creation of multiple supplementary industries, such as filling stations and automobile repair, and subsequently benefitted the economy and the people immensely.
Fast forward to 2024, and we are facing a similar tension among us.
Generative AI is poised to automate 60-70% of current employee work time in the future creating a world where people will have personal assistants that can help them increase their productivity.
However, this also means that companies will start laying off employees - A trend that has started to show in big tech like Google and Amazon. Read more
If we zoom into this situation, we'll see that the marginalized communities will be the ones facing the higher consequences of this revolution given the historic gap in opportunities for them.
What does the rise of generative AI mean for marginalized communities? How will this tech revolution uniquely impact them? Let’s explore this in this dispatch!
Marginalized communities consist of groups that have faced systemic disadvantages and exclusion in society. This includes racial and ethnic minorities like African Americans, people with disabilities, etc.
Why Will Generative AI Affect the Jobs of the Black Communities:
About 74% of black workers do not have college degrees. Hence, the only way for them to get into a high-growth career is usually to get a high-mobility job.
High-mobility jobs are those jobs that provide livable wages and the potential for upward career development over time without requiring a four-year college degree.
They have two tiers, Gateway Jobs and Target Jobs.
For black workers, this is particularly relevant as one in every eight black Americans has moved to a gateway or target job.
However, gen AI may be able to perform about half of these gateway or target jobs that many workers without degrees have pursued between 2030 and 2060. This could close a pathway to upward mobility that many Black workers have relied on.
Impact of Generative AI on the Jobs of Women:
The jobs of women are likely to be impacted by generative AI due to societal biases that have historically pushed women into certain roles that are now highly exposed to automation.
The Kenan Institute's analysis suggests that a higher percentage of working women are in white-collar jobs as opposed to blue-collar roles, which makes them more susceptible to AI-driven changes in the workforce.
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The Paradox of the Emergence and Extinction of Jobs Ft. Gen AI
Here's a great analysis highlighting the impact of Generative AI, specifically focusing on the range of jobs it will automate and the new opportunities it is expected to create in the professional landscape.
The discussion primarily focuses on the following points:
Were you fooled by this riddle as a child? Don't worry, ChatGPT was also tricked by it.
Navigating the Generative AI Revolution Optimistically
We understand that Generative AI will alter how things are for us. But it's time we navigate this situation optimistically. How can that be done? Well, history carries the answer for us. Reskilling and solving the challenges posed by AI.
Without a doubt, we recommend exploring how language models work and learning to develop applications using them. This knowledge will equip you to be a part of the automation movement.
Here's a roadmap to take your first step.
Pro-tip: Check out our comprehensive Large Language Models Bootcamp - It's an extensive 40 hour training
2. Navigating the Challenges of Language Model Applications
It's also important to address the challenges and issues that arise from these applications. For example, we need to tackle the biases and discriminatory tendencies in models, as well as concerns related to privacy.
Here's a great talk that you can attend featuring Raja Iqbal where he will share his insights on non-technical issues of LLMs.
Book yourself a slot now! RSVP for the in-person event in Redmond, or the online coverage.
Finally, let's end the day with some headlines of the week.
??We trust that you had an enriching experience with us this week, leaving you more knowledgeable than before! ??
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Until we meet again, take care!
Principal Managing Consultant | Machine Learning Engineer | Data Science | Deep Learning | Generative AI @ TCG, LLC | Mentor Post-Graduate AIFL | Risk Solutions & Management | Entrepreneur
10 个月There a legacy of bias to ‘marginalized communities’ that runs concurrent today, it “thrives” as racial bias even when “all-things-are-equal”…Professional people of color (men & women) of education are often denied ‘opportunities’ to acquire the necessary skills to participate (which adds to the inherent bias for this technology advent) of which diversity should help remedy, you think? However, major forces of political agenda within corporations appear to be against Diversity & inclusion efforts (being disingenuous in the 1st place) and serves as counterweight to this article’s attempt to quell such discontent about disproportionate and negative impact to some (again, an accelerant to an existing deprecating rate). What are the solutions to a problem where many of the primary investors (corporate leaders and politicians) are hedged in favor of further bias?