The Digital Data Design Institute at Harvard is now the Harvard Business School AI Institute.

Insights

Colorful folded hands

Why AI can’t afford to discount diversity

How can businesses protect sensitive user data to foster trust among consumers? How can they design products and tools that avoid racial, gender, and other biases towards users? How should they decide who uses their products, and for what purpose? The answers to these and other questions are especially pertinent to the developers of artificial […]

climbing the mountain

Some assembly required: building an interdisciplinary superteam to tackle AI ethics

Technologists, managers, and policymakers all have a seat at the table here. Assembly, a collaboration of the Berkman Klein Center for Internet & Society at Harvard and the MIT Media Lab, is about creating space for cross-sector teams to crack the code to some of AI’s toughest ethical and governance problems — problems that would otherwise fall out of reach.

Crossroads in the woods

Where fairness ends

The current intense focus on machine learning’s biases is crucial because the issue is not only real, it’s rooted in machine learning’s essence: ML constructs models based on the data we feed it, and unless great care is taken, that data will reflect existing biases. But, focusing on fairness is not enough when addressing the […]

Colorful sticky notes on wall

Can crowds help the U.S. Military stay agile?

U.S. Special Operations Forces are known for their agility. However with expanding activity in the digitally-connected world, remaining agile means being open to new approaches — like working with crowds.

Interview

Two powerful ways managers can curb implicit biases

Many managers want to be more inclusive, but they don’t know how to get there. They are often not given the right tools to overcome the challenges posed by implicit biases. Research shows there are two, small—but more powerful—ways managers can block bias: first, by closely examining and broadening their definitions of success, and second, […]

woman at computer

When online harassment doesn’t follow the rules

Is there a ‘cost’ to online harassment? Is it quantifiable? Beyond the toll it weighs on human victims, the rampant toxicity we see across social networks and communities, does this toxicity affect the bottom line of social networks? Well, in December 2018, Amnesty International released a robust report on online harassment against women politicians and […]

wWoman climbing metal ladder

Barriers, not the pipeline, prevent gender equality in tech

The argument that the education pipeline does not produce enough qualified women to take up positions in science and technology-related industries does not hold water. In the US, labour force data show that the number of women working in computing and other digital technology jobs is disproportionately lower than the number of women graduating from […]

Woman in workspace

The costs of inequality: for women, progress until they get near power

This article originally appeared in The Harvard Gazette. It is the best of times. Nearly equal numbers of American women and men now go into medicine and law. More women than men graduate from college and graduate school. The gap between men’s and women’s pay has shrunk in recent decades. It is the worst of […]

Engineering paper

The subtle stressors making women want to leave engineering

Female retention in engineering continues to be a problem. Even after overcoming hurdles to enter the profession, women leave at much higher rates than men.

Elevator in lights

When meritocracy is a myth

Access isn’t everything. As “tech jobs” in fields like software engineering and data science have become among the most lucrative and exciting in the current economy, concern about who holds these jobs, and reaps their rewards, has grown, and not only among industry watchers and experts. Technology companies feel increasing pressure from investors, the public, […]

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