Published Jun 23, 2020

Anu Gutpa - Transforming Deeply Ingrained Stereotypes and Unconscious Bias

Scientist, educator, and lawyer Anu Gupta delves into the transformation of deeply ingrained stereotypes and unconscious biases across sectors like healthcare and education, offering the PRISM toolkit—a mindfulness-based set of tools—to foster equity and personal well-being.
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Episode Highlights

  • Justice Bias

    Anu Gupta discusses how unconscious biases manifest in the criminal justice system, often leading to unequal treatment of marginalized communities. He shares his experiences from law school, observing judges sentencing young African American children harshly for minor offenses, highlighting the deep-seated cultural assumptions at play 1. Gupta emphasizes that these biases are not limited to the courtroom but permeate various sectors, including education, healthcare, and technology 2.

    It's learned habits of thought that distort how we perceive reason, remember, and make decisions.

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    Addressing these biases requires significant cultural transformation, as they are deeply embedded in our society 2.

       

    Healthcare Bias

    Gupta explains how biases affect healthcare delivery and outcomes, particularly in marginalized communities. He describes traumatic environmental factors, such as toxic waste sites and lack of resources, that disproportionately impact these communities, leading to higher rates of health issues like asthma 3. Gupta believes that breaking bias is essential for all individuals, not just those marginalized, as it helps everyone reach their full potential 4.

    We just need a critical mass of people that can do that. Then we can actually address those other three root causes.

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    By addressing biases, we can begin to tackle the systemic issues that perpetuate health disparities 3.

       

    Tech Bias

    Technological design and implementation are not immune to biases, as Gupta points out. He cites examples of companies like H&M and Gucci, which faced backlash for products deemed offensive due to oversight rooted in unconscious bias 2. Gupta's organization, Be More, aims to use AI and machine learning to personalize learning and help individuals break their biases 5.

    Can we use that same technology to help people be better, be more? That's our hope moving forward.

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    This approach seeks to transform how biases are addressed, making the process more effective and inclusive 5.

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