Ethical Leadership and Governance

A panel of experts weighs in on whether responsible AI should be connected to corporate social responsibility efforts.

A sufficiently independent, highly supported yet customer value-aligned technology practice can ultimately lead the business to new opportunities.

Historically, it’s been a matter of trial and error. There’s a better way.

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.

The ethics of big data and AI have become hot topics, but the foundations of ethical technology stretch beyond the emerging trends.

Over the last two years, there has been a sea change in how financial markets view ESG considerations, which have been pushed even higher up the agenda by the COVID-19 pandemic

Using new technology without weighing social impact could cost companies dearly

AI-for-good projects can easily go wrong if you don't ask the right questions and include the right people from the start.

In Stockholm, heat recovered from data centers is captured and deployed to warm homes. Can other cities follow?

Ethics are no longer a “nice to have” in the tech industry. Lack them, and it will deeply impact your business. Four experts talk about the responsible use of technology and what that means.

Executives face a new ethical paradigm as technology reshapes value chains across industries.

There’s more talk of AI ethics than ever before. But talk is just that—it’s not enough.

Doing the right thing can be hard when it’s bad for business.

Venture capitalists’ role as funding source and mentor of tech start-ups makes them uniquely placed to press for more responsible use of technology.

Ethical concerns around using technology in business have been around for decades, and the last several years have seen a plethora of guidelines aiming to provide guidance in using tech responsibly However, it’s only really in the last year that we have really seen digital ethics hit the mainstream, with organisations in the private and public sector focusing their attention and, increasingly, resources, on these matters. So, what’s caused this shift?

With the prevalence of AI technologies across businesses, AI ethics will soon become critical components of stakeholder capitalism.

Why this WEF report gets AI Ethics wrong, and 25 techniques for producing trustworthy AI

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

A growing ecosystem of “responsible AI” ventures promise to help organizations monitor and fix their AI models.

While it might seem as though there is little or no guidance around digital ethics, the problem is actually that there are hundreds of frameworks to choose from. However, we’re starting to see these frameworks coalesce around six themes: fairness and inclusivity, explainability and transparency, safety, social benefit, responsibility, and accountability.

Eliminating algorithmic bias can unlock value for your company.

Organizations are increasingly under pressure to protect customer data and ensure it is used responsibly. To hold themselves accountable, companies need a formalized data program.

Every aspect of an organization disrupted by technology represents an opportunity to gain or lose stakeholders' trust. Leaders are approaching trust not as a compliance or PR issue but as a business-critical goal.

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

Majorities of U.S. adults believe their personal data is less secure now, that data collection poses more risks than benefits, and that it is not possible to go through daily life without being tracked.