Social Science

Every child messes up, sometimes in ways that seem sure to wreck their futures: a bad report card, poor sportsmanship, underaged drinking. These are tough moments for parent and child alike, often complicated by the fear that the misstep is also an indictment of our parenting. But what each of these “fails” has in common for our kids is the precious silver lining of a chance for character building and developing more grit—if we help them process their mistake well.

An invaluable playbook for anxious parents everywhere, Eight Setbacks That Can Make a Child a Success offers specific and unexpected advice about what to say, what not to say, and what to do to help children in eight categories of tense situations. Distilled from Michelle Icard’s decades of experience working with tweens, teenagers, and families, it also introduces her signature three-step approach to any kind of failure:

• Contain: Affirm your child, gather the facts, and control the narrative.
• Resolve: Explain what went wrong, define clear consequences, teach them to apologize well, and develop a plan to rebuild trust.
• Evolve: Reaffirm and re-expand their rights, and establish rewards for good behaviors.

With empathy, insight, and optimism, Michelle Icard’s advice ensures that a child’s mistake or rebellion doesn’t become the headline of their childhood, but instead becomes a launch pad to a better future.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

After tinkering with robotics as a high school student in Memphis and then developing mobile apps in Zambia as a Fulbright fellow, Buolamwini followed her lifelong passion for computer science, engineering, and art to MIT in 2015. As a graduate student at the “Future Factory,” she did groundbreaking research that exposed widespread racial and gender bias in AI services from tech giants across the world.

Unmasking AI goes beyond the headlines about existential risks produced by Big Tech. It is the remarkable story of how Buolamwini uncovered what she calls “the coded gaze”—the evidence of encoded discrimination and exclusion in tech products—and how she galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both the tech industry and the research sector, she shows how racism, sexism, colorism, and ableism can overlap and render broad swaths of humanity “excoded” and therefore vulnerable in a world rapidly adopting AI tools. Computers, she reminds us, are reflections of both the aspirations and the limitations of the people who create them.