Busting Biases: Harnessing AI to Build a Fairer Future

Joe Slade
The Nerd Circus
Published in
4 min readJul 22, 2023
AI generated image of a scientist using futuristic technology

Unconscious bias is everywhere—ingrained deep in our minds without us even realizing it. From assuming a doctor is male to thinking software engineers are antisocial geeks, unconscious bias leads to unfair judgment, discrimination, and missed opportunities.

Unconscious bias, also known as implicit bias, is the term used to describe forms of discrimination and stereotyping that are committed without conscious awareness, leading to an array of societal issues. In this article, we will explore how artificial intelligence, particularly generative AI models, can be leveraged to detect and mitigate these deeply ingrained biases.

The hidden-in-plain-sight nature of unconscious bias is precisely what makes it so hard to address. How can we combat something we don’t even know is there? This is where AI comes in.

Generative AI large language models (LLMs) like OpenAI’s GPT are trained on massive datasets collected from human-created content across the internet. So, these systems implicitly learn the same societal biases we subconsciously hold onto ourselves—for better or worse. But what if we could leverage AI’s bias detection capabilities to uncover our own blind spots?

AI generated image of futuristic detection tools in action

Shifting roles: AI as a bias detector

Generative AI models can act like bias detectors, spotting problematic patterns in language that humans overlook. For example, a 2022 study found GPT-3 exhibits brilliance bias in its generation of stories, favoring male characters in brilliance-related prompts.

Used in over 300 applications and generating an average of 4.5 billion words per day, LLMs like GPT present a compelling representation of our collective unconscious. The deep connection between thought and language suggests that AI can play a crucial role in uncovering biases that exist in its own training data. By identifying problematic patterns in language, AI models like GPT can help us become more aware of our own blind spots and work towards reducing bias. This ever-expanding capacity for pattern recognition highlights the potential of leveraging AI’s bias detection abilities to create more inclusive and equitable systems.

The inherent strengths of generative AI mean LLMs can help shine a spotlight on subtle biases coded in our everyday communication and content—if wielded carefully.

AI generated image of a researcher at work in a futuristic laboratory

The case of AI: investigating unconscious bias

Say your company wants to eliminate biased recruiting practices. You could use generative AI to analyze your job descriptions for gendered language that favors male applicants. An AI assistant may flag phrases like “assertive leadership” as problematic while suggesting more inclusive alternatives.

Or imagine scanning your brand’s social media imagery for racial stereotypes that less diverse marketing teams might miss. AI pattern recognition can empower diversity initiatives to identify high-value underrepresentation issues and allow outreach efforts to reach untapped audiences.

AI-powered bias detection tools can also be used to examine AI-generated content. Using advanced algorithms and machine learning techniques to sift through vast oceans of information, AI tools can highlight patterns of significant bias in the generated output and minimize discriminatory content. Using AI, we can ensure that AI systems play a role in creating a more inclusive and fair society.

Of course, AI bias detectors require human governance. But combine responsible AI with a diverse ethics review board, and you’ve got a scalable solution for catching hidden problem areas before they surface.

AI generated image of a crystal ball powered by futuristic technology

Peering into the future: AI’s role in dismantling bias

In a recent article, Bill Gates confirmed that the risks of AI are real but manageable. With the right safeguards in place, bias-detection technology could one day help organizations systematically find and mitigate prejudice in their systems, language, imagery, and workflows.

As the technology improves, AI-powered detection tools will become even better at sniffing out unconscious prejudice while generating fair, balanced results. It all starts with awareness. AI provides powerful tools to begin the work of addressing our blind spots and forging a more inclusive future.

The choice is ours. Will we ignore the shadows that AI reveals or step boldly into the light of awareness? The future depends on the paths we take today. Stay tuned to our publication for more insights and thought-provoking articles on the evolving nature of AI.

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Joe Slade
The Nerd Circus

I am a writer, artist and technology geek. As a newly minted digital nomad, I've developed a love for exotic locations, craft coffee, and sturdier flip-flops.