Ethical Leadership and Governance

Today’s business school education isn’t suited to the big challenges facing the world — climate change, economic inequality and racial injustice — that the leaders of tomorrow will be expected to solve. So, how can students and young professionals succeed in a system that primarily rewards profit? How can they create real change while working in a corporate world that’s mostly stuck in outdated business models?

Creating a circular business model is challenging—and taking the wrong approach can be expensive. Pick a strategy that fits your resources and capabilities.

The digital revolution is here, but not everyone is benefiting equitably from it. And as Silicon Valley’s ethos of “move fast and break things” spreads around the world, now is the time to pause and consider who is being left out and how we can better distribute the benefits of our new data economy.

Amid rising discontent, Purpose 2.0 can help tech companies rediscover their footing, win back public confidence, and reinvigorate their performance.

We don’t allow people to sell their kidneys. We shouldn’t let them sell the details of their lives, either.

The General Data Protection Regulation (GDPR) creates a seemingly large hurdle for artificial intelligence (AI) implementation. Yet it can also be an opportunity for ensuring your AI is maximising the privacy of individuals.

It’s common practice for people’s data to be shared with partners of companies, etc. where individuals don’t understand who’s getting their data and why. Modern technology changes that, and it’s essential for all humans to have new tools so they can project their digital truth in the digital and algorithmic era.

The big tech business model by which users provide personal data in exchange of services is coming to crisis point, with data ownership under heavy scrutiny

Discussions of ethics in data science and artificial intelligence are all well and good, but they won't go anywhere if the prime directive is making massive profits for venture capitalists.

Surveillance capitalism as a revenue model through the observation and recording of as much personal data as possible to create highly effective targeted advertisements is growing unchecked. Can regulation level the playing field?

In this excerpt from "The Big Nine," NYU Professor Amy Webb explains the dangers of decision-making AI.

Corporations can achieve greater environmental and financial performance by developing and implementing circular business model strategies.

In today's context, a resilient and competitive business model must optimize for both business and environmental/societal value. Gauge your model against the six dimensions of E/S impact.

Here's why the tech landscape is going through a long-overdue shift, and how you can add to that momentum.

There are so many cases of companies misusing data or not keeping it private that we hardly bat an eye when yet another story breaks.

Entrepreneurs must start by trying to solve a real problem and build in consumer safety features from the outset.

Tech companies need more than advisory boards if they want to create ethical products and services.

As big companies profit from our data, technological advances could make it so the control is taken back to the user and potentially, offer a new universal basic income at its heart.

Asking tech leaders how to regulate their own industry might be like “asking the foxes how best to guard the henhouse.”

Big tech companies like Google and Microsoft have embraced AI ethics boards and charters, assuring the public that they’re essential to keeping the worst effects of machine learning in control. But are these projects actually helping anyone?

We’re reaching the endgame of an inevitable showdown between big tech and regulators with a ley battleground around consumer data.

Responsible research and innovation is becoming a buzz phraze in tech circles, but what does it actually mean?