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  • [MUSIC PLAYING]

  • LILY JAMPOL: So I want to ask you guys a question.

  • Do you-- yes or no-- consider yourselves, generally speaking,

  • to be nice?

  • A nice person?

  • AUDIENCE: Yes.

  • LILY JAMPOL: Yes.

  • Of course you are.

  • [LAUGHS] Now I'm going to upset you

  • by telling you about how sometimes being nice

  • can have unintended and ironic consequences for the workplace.

  • So in the 2009 film "Up in the Air,"

  • George Clooney plays a character who is hired by other companies

  • to go and fire their employees so

  • that they don't have to do it.

  • Besides being a pretty good film,

  • what the plot captures perfectly is

  • that giving feedback to others is pretty terrible for everyone

  • involved, especially if it's negative feedback.

  • In fact, research has found that supervisors

  • will delay giving feedback, not give it at all,

  • or even distort the contents of that feedback

  • so that it's not quite as harsh.

  • What we know as white lies.

  • And this tension between truthfulness but also

  • not wanting to hurt people's feelings

  • can be exacerbated when the recipient of that feedback

  • is particularly empathy-eliciting.

  • And historically speaking, women have stereotypically

  • been seen to be less competent than men

  • but also more emotionally unstable and vulnerable.

  • And these beliefs, despite being often subconscious or implicit,

  • can lead to protective or sometimes even patronizing

  • attitudes and behaviors towards women.

  • So my question was, if it's hard to give feedback

  • and women are seen with more empathy,

  • does that mean that women are going

  • to be told more white lies about their performance than men?

  • And in order to test this question,

  • we put people in a situation that

  • would mimic this tension between truthfulness and empathy.

  • And we asked them to give feedback directly

  • to some other participants.

  • So we told our participants that they

  • were going to be working remotely

  • with two other students, who we identified as AM and SB,

  • and who were, unbeknownst to them,

  • actually computer-generated programs.

  • So they weren't real participants.

  • And we asked them to evaluate essays

  • that AM and SB had written and evaluate them on a 0

  • to 100 scale and tell us what they thought

  • about these particular essays.

  • So this is phase one.

  • Once they had submitted those ratings to us, in phase two,

  • we told them, now you're gonna have a chance

  • to give feedback directly to these other students.

  • And this time, we had the other fake students

  • introduce themselves using their real names, Andrew and Sarah,

  • which we used as a subtle manipulation of gender.

  • So now they were both assigned genders.

  • And then we asked the participants to rate

  • the essays again using the exact same scale

  • as they had before, only this time they

  • would submit those ratings directly to the participants.

  • And then we measured the degree of white lie

  • by taking the difference between phase two and phase one.

  • And what we found is despite there being

  • no difference in the phase one ratings-- that is,

  • before they knew the gender, people were rating equally bad

  • the essays, about 35% on a 100% scale.

  • In phase two, people were telling Sarah

  • that she was doing more than 15% better than they had told us

  • they thought she was doing, indicating

  • that at least to some degree, Sarah was getting white lies.

  • And we've replicated this in other studies since then.

  • And we also asked people, did you

  • know that you lied more to Sarah than to Andrew?

  • And people at least reported that they

  • had no recollection of having given biased feedback to one

  • participant over the other.

  • All right.

  • So this isn't necessarily a problem

  • if women actually do prefer hearing white lies, right?

  • [LAUGHTER]

  • Well, you could argue that that is a problem.

  • But in a follow-up study, we decided to ask them,

  • do you prefer hearing white lies?

  • And we asked both women and men.

  • It turns out that no, everybody actually expressed a preference

  • for hearing the truth.

  • So at least on a nominal level, people

  • desire to hear truthful feedback, even if it was harsh.

  • Now it seems that women are being

  • told more white lies than men.

  • But there are other broader implications

  • of this besides just this incongruency problem.

  • First and foremost, a lack of information

  • means that women-- and possibly other disadvantaged groups--

  • are not getting the information that they need in order

  • to improve.

  • And if they do detect that supervisors are lying,

  • this could also lead to resentment and demotivation.

  • And all this has implications not just

  • for individual performance but also for the performance

  • of the workplace and the organizations.

  • And I have to thank Nancy for teaching me

  • how to draw hair on stick figures using PowerPoint.

  • It's pretty awesome.

  • All right.

  • So what can we do?

  • What are some practical interventions?

  • First and foremost, and this has been

  • brought up a bit with the conversation

  • on subconscious bias, but increasing awareness

  • is really important.

  • Particularly important is having everyone, both employees

  • and employers, understand that good people

  • with good or chivalrous intentions

  • can have ironic consequences for equality in the workplace.

  • Secondly, some practical interventions we could do

  • would be to have employees ask for truthful feedback.

  • So in feedback situations, this might alleviate the pressure

  • there is on supervisors to be nice instead of be truthful.

  • And likewise, supervisors could prompt employees

  • to express their preferences during those feedback

  • situations.

  • Another action that could be taken

  • is to have supervisors concentrate on the broader

  • goals of the organization and the concrete improvements

  • that employees could make, given truthful feedback.

  • And not just on avoiding negative interactions

  • with people when they're face to face with them.

  • Also we've found that people who've had experience

  • giving feedback tend to show this bias a little bit less.

  • So perhaps running simulations or training programs,

  • putting supervisors in a series of being

  • able to deal with different kinds of feedback situations

  • would more adequately prepare them

  • to be able to give unbiased feedback.

  • Ultimately, there's been a lot of progress

  • in terms of equality.

  • However, the glass ceiling still exists

  • for women in the workplace.

  • Making broad structural changes, such as maternity care,

  • are really important and necessary steps.

  • However, understanding how biases-- subtle ones,

  • like the one that I've just shown you-- play out

  • through common and normal workplace routines

  • is also really, really essential.

  • It's not just for breaking down those barriers

  • and identifying these biases, but also

  • for developing interventions that

  • will make the workplace a more equal and hospitable place

  • for everyone.

  • Thanks.

  • [APPLAUSE]

  • [MUSIC PLAYING]

[MUSIC PLAYING]

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