Implicit Bias | Nick Byrd, Ph.D.

Upon Reflection, Ep. 5: Reflective Reasoning For Real People (Dissertation Overview)

Welcome to Upon Reflection. In this episode, I review the major take-aways and findings from my dissertation titled, “Reflective Reasoning For Real People”. I explain what cognitive scientists mean by terms like “reflective reasoning”, how reflection is measured empirically, how reflection can either help or hinder our reasoning, how more reflective philosophers tend toward certain philosophical beliefs, and how reflection may help us retrain our implicit biases.

Podcast: Play in new window | Download (Duration: 15:53 — 29.1MB)

Upon Reflection Podcast Ep. 1: What We Can Infer About Implicit Bias

Welcome to the first episode of Upon Reflection, a podcast about what we think as well as how and why we think it.

A screenshot of the first page of the paper "What We Can (And Can't) Infer About Implicit Bias From Debiasing Experiments".

In this podcast, I’ll be reading my paper entitled, “What We Can (And Can’t) Infer About Implicit Bias From Debiasing Experiments“. I argue that implicit bias is not entirely unconscious or involuntary, but it probably is associative. As with all of my papers, the free preprint of the paper can be found on my CV at byrdnick.com/cv under “Publications“.

If this sounds like the kind of research that you want to hear more about, you can subscribe to Upon Reflection wherever you find podcasts. You can also find out more about me and my research on Twitter via @byrd_nick, or on Facebook via @byrdnick. If you end up enjoying the Upon Reflection podcast, then feel free to tell people about it, online, in person, or in your ⭐️⭐️⭐️⭐️⭐️ review.

Podcast: Play in new window | Download (Duration: 53:23 — 48.9MB)

New Paper: What We Can (And Can’t) Infer About Implicit Bias From Debiasing Experiments

Synthese has just published one of my papers on implicit bias. As with all of my papers, you can find a link to the free preprint on my CV: byrdnick.com/cv. The final, corrected, and typeset version is on Synthese’s website and the audio version is on my podcast. In this post, you will find a non-technical overview of the paper’s main point and then the TLDR explainer.

Continue reading New Paper: What We Can (And Can’t) Infer About Implicit Bias From Debiasing Experiments

The Bias Fallacy

“They’re biased, so they’re wrong!” That’s a fallacy. We can call it the bias fallacy. Here’s why it’s a fallacy: being biased doesn’t entail being wrong. So when someone jumps from the observation that So-and-so is biased to the conclusion that So-and-so is wrong, they commit the bias fallacy. It’s that simple.

In this post, I’ll give some examples of the fallacy, explain the fallacy, and then suggest how we should respond to the bias fallacy.

1. Examples of The Bias Fallacy

You’ve probably seen instances of the bias fallacy all over the internet. In my experience, the fallacy is a rhetorical device. The purpose of the bias fallacy is to dismiss some person or their claims.

Like many rhetorical devices, this one is logically fallacious. So it’s ineffective. At least, it should be ineffective. That is, we should not be persuaded by it.

So if you’ve seen the bias fallacy online, then go ahead and set the record straight:

'They're biased, so they're wrong.' Not so fast! We can be biased without being wrong. #TheBiasFallacyClick To Tweet Continue reading

Implicit Bias & Philosophy

This week, I’m talking about implicit bias over at The Brains Blog. I’m including my portion of the discussion below.

1. The Implicit Association Test (IAT)

A screen recording of the race implicit association test

The implicit association test (IAT) is one way to measure implicitly biased behavior. In the IAT, “participants […] are asked to rapidly categorize two [kinds of stimuli] (black vs. white [faces]) [into one of] two attributes (‘good’ vs. ‘bad’). Differences in response latency (and sometimes differences in error-rates) are then treated as a measure of the association between the target [stimuli] and the target attribute” (Huebner 2016). Likewise, changes in response latencies and error-rates resulting from experimental interventions are treated as experimentally manipulated changes in associations.

2. The Effect Of Philosophy

As philosophers, we are in the business of arguments and their propositions, not associations. So we might wonder whether we can use arguments to intervene on our implicitly biased behavior. And it turns out that we can — even if the findings are not always significant and the effect sizes are often small. Some think that this effect of arguments on IAT performance falsifies the idea that implicitly biased behavior is realized by associations (Mandelbaum 2015). The idea is that propositions are fundamentally different than associations. So associations cannot be modified by propositions. So if an arguments’ propositions can change participants’ implicitly biased behavior — as measured by the IAT — then implicit biases might “not [be] predicated on [associations] but [rather] unconscious propositionally structured beliefs” (Mandelbaum 2015, bracketed text and italics added). But there is some reason to think that such falsification relies on oversimplification. After all, there are many processes involved in our behavior — implicitly biased or otherwise. So there are many processes that need to be accounted for when trying to measure the effect of an intervention on our implicitly biased behavior — e.g., participants’ concern about discrimination, their motivation to respond without prejudice (Plant & Devine, 1998), and their personal awareness of bias. So what happens when we control for these variables? In many cases, we find that argument-like interventions on implicitly biased behavior are actually explained by changes in participants’ concern(s), motivation(s), and/or awareness, but not changes in associations (Devine, Forscher, Austin, and Cox 2013; Conrey, Sherman, Gawronski, Hugenberg, and Groom 2005). Continue reading Implicit Bias & Philosophy

Implicit Bias | Part 4: Ten Debiasing Strategies

At this point it’s pretty clear why someone would be worried about bias. We’re biased (Part 1). Consciously suppressing our biases might not work (Part 2). And our bias seems to tamper with significant, real-world decisions (Part 3). So now that we’re good and scared, let’s think about what we can do. Below are more than 10 debiasing strategies that fall into 3 categories: debiasing our stereotypes, debiasing our environment, and debiasing our decision procedures. Continue reading Implicit Bias | Part 4: Ten Debiasing Strategies

Implicit Bias | Part 3: Workplace Bias

Think about decisions that people make every day. A committee decides who to hire. A supervisor rates an employee’s performance. A teacher grades a student’s assignment. A jury arrives at a verdict. A Supreme Court judge casts their vote. An emergency medical technician decides which victim to approach first. A police officer decides whether to shoot. These are instances in which workplace bias can have significant consequences.

I won’t be able to highlight every area of research on workplace bias. So I cannot delve into the findings that police officers’ sometimes show racial bias in decisions to shoot (Sim, Correll, and Sadler 2013, Experiment 2; see Correll et al 2007, Ma and Correll 2011 Study 2 for findings that indicate no racial bias). And I cannot go into detail about how all-white juries are significantly more likely than other juries to convict black defendants (Anwar, Bayer, Hjalmarsson 2012).

GENDER BIAS AT WORK

Instead, I’ll focus on the instances of workplace bias to which most people can relate. If you’re like most people, then you need to work to live, right? So let’s talk about how bias can affect our chances of being hired. Continue reading Implicit Bias | Part 3: Workplace Bias

Implicit Bias | Part 2: What is implicit bias?

If our reasoning were biased, then we’d notice it, right? Not quite. We are conscious of very few (if any) of the processes that influence our reasoning. So, some processes bias our reasoning in ways that we do not always endorse. This is sometimes referred to as implicit bias. In this post, I’ll talk about the theory behind our implicit biases and mention a couple surprising findings.

The literature on implicit bias is vast (and steadily growing). So there’s no way I can review it all here. To find even more research on implicit bias, see the next two posts, the links in this series, and the links in the comments.† Continue reading Implicit Bias | Part 2: What is implicit bias?

Implicit Bias | Part 1: Bias Anxiety

The research on bias is kind of scary. It not only suggests that we are biased; It suggests that we are unaware of many of our biases. Further, it suggests that trying to suppress our biases can easily backfire. So, despite our best efforts, we could be doing harm. And yeah: that might provoke a bit of anxiety. That’ll be the topic of this post.

In future posts, I’ll talk about the theory behind our biases [Part 2], how bias impacts the workplace [Part 3], a dozen debiasing strategies from the research [Part 4], and a few tips for giving (and receiving) feedback about our biases [Part 5].

Related post: The Bias Fallacy (what it is and how to avoid it).

Continue reading Implicit Bias | Part 1: Bias Anxiety

Tag: Implicit Bias

Upon Reflection Podcast Ep. 1: What We Can Infer About Implicit Bias

Related posts

Implicit Bias & Philosophy

1. The Implicit Association Test (IAT)

2. The Effect Of Philosophy

Implicit Bias | Part 1: Bias Anxiety

Related posts

1. Examples of The Bias Fallacy

1. The Implicit Association Test (IAT)

2. The Effect Of Philosophy

1. Feedback

GENDER BIAS AT WORK