Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think, and Do book cover

Biased

Uncovering the Hidden Prejudice That Shapes What We See, Think, and Do

Jennifer L. Eberhardt
4.32 (8706 Reviews)

Panoramica di Biased

Stanford psychologist Jennifer Eberhardt reveals how unconscious bias shapes our lives, from classrooms to courtrooms. A National Book Award finalist endorsed by Angela Davis, this eye-opening work asks: Can we recognize our own biases when they're invisible to us?

Temi chiave in Biased

  • implicit bias
  • other-race effect
  • racial categorization
  • neuroscience of prejudice
  • social stratification

Citazioni da Biased

  • I think it's fear.

  • Categories that blind.

  • Our racial categories determine what we actually see.

  • Bias operates in our brains, our neighborhoods, and our cultural understanding.

  • Children are adept at detecting social signals and patterns.

Personaggi di Biased

  • Jennifer L. EberhardtAuthor and social psychologist studying bias
  • Jennifer Eberhardt's sonThe author's child who observes social bias
  • MarshaThe author's African American friend

Sull'autore

Sull'autore di Biased

Jennifer L. Eberhardt, author of Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think, and Do, is a renowned social psychologist and Stanford University professor whose groundbreaking work on implicit racial bias has reshaped conversations about justice and inequality. A 2014 MacArthur “Genius Grant” recipient and elected member of the National Academy of Sciences, Eberhardt ties her research to real-world impact through police reform initiatives and bias mitigation training adopted by institutions worldwide.

Her expertise is frequently sought by media giants like NPR, The Today Show, and TED (her 2020 talk garnered 3.3 million views), while her insights inform policies at the U.S. Department of Justice and Fortune 500 companies. Biased, winner of awards from the American Psychological Association and Association for Psychological Science, dissects how unconscious stereotypes permeate education, tech, and law enforcement.

Eberhardt co-directs Stanford’s SPARQ initiative, bridging psychological research with social problem-solving. The book, a finalist for the National Book Award, has been translated into 12 languages and cited in over 1,000 academic studies. In 2021, she became the first African American president of the Association for Psychological Science, leading its 25,000-member global network.

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FAQ su questo libro

Biased by Jennifer L. Eberhardt explores implicit racial bias—how unconscious stereotypes about race form through societal disparities and brain function, influencing decisions in policing, education, housing, and workplaces. Combining neuroscience research, case studies (like Airbnb and Nextdoor discrimination incidents), and personal narratives, Eberhardt reveals systemic racism’s roots and offers actionable strategies to counteract bias.

This book is essential for educators, law enforcement professionals, policymakers, and anyone interested in social justice or psychology. It’s also valuable for organizations aiming to address workplace discrimination, as Eberhardt provides frameworks for implicit bias training and institutional reform.

Yes—Biased is praised as a groundbreaking, research-driven analysis of racial bias’s societal impact, blending academic rigor with real-world examples. Kirkus Reviews calls it “game-changing” for its insights into policing, criminal justice, and corporate bias, while Bryan Stevenson describes it as critical reading for understanding modern racism.

Eberhardt argues that media, history, and systemic inequities reinforce the stereotype linking Blackness to criminality, which skews policing and judicial outcomes. For example, her research shows Black defendants perceived as more “stereotypically Black” face higher capital sentencing rates, even when controlling for case details.

Eberhardt advocates for institutional reforms like police implicit bias training, equitable housing policies, and tech platform safeguards against profiling. She emphasizes that combating bias requires systemic change, not just individual awareness, and highlights successful initiatives at Airbnb and Nextdoor.

The book details how implicit bias leads to disproportionate stops, violence, and wrongful convictions against Black individuals. Eberhardt’s work with police departments shows training can reduce bias-driven decisions, though she acknowledges systemic challenges in holding officers accountable.

Eberhardt recounts fears for her Black sons’ safety and experiences of racial profiling. She also shares encounters with white nationalists during her University of Virginia visit after the 2017 Charlottesville rally, illustrating how bias escalates into explicit racism.

Some note the book’s heavy focus on Black-white dynamics over other racial groups, though Eberhardt clarifies this stems from existing research depth. Others highlight the emotional toll of its unflinching analysis of police violence and systemic oppression.

Unlike purely theoretical works, Biased combines neuroscience with practical solutions, similar to The New Jim Crow but with a stronger focus on psychological mechanisms. It’s frequently compared to Just Mercy for its criminal justice insights.

  • “Racial bias is a human problem—one all people can play a role in solving.”
  • “Stereotypes shape what we see, what we notice, and what we ignore.”

Eberhardt’s “distorting lens” metaphor explains how bias warps perception through brain architecture and societal inequities.

With ongoing debates over AI bias, systemic racism, and policing reforms, Biased remains critical for understanding how unconscious prejudice perpetuates inequality. Its strategies for organizational change are increasingly adopted in tech and education sectors.

  • A 2006 study showing Black defendants’ perceived “stereotypicality” increases death sentence likelihood.
  • A 2023 analysis of linguistic cues in police stops revealing escalated tensions with Black drivers.
  • Neuroimaging experiments demonstrating how racial bias activates brain regions linked to threat detection.

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