Ethical Leadership and Governance

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?

One big barrier standing in the way of explainability is the tension between the deep learning community and the symbolic AI community.

California is putting a proposal on the table to force big tech to create a digital dividend fund to share revenue from any personal data monetization. Will this address increased demand for income inequality and government involvement in wealth redistribution?

Sam Altman shocked Silicon Valley on Friday when he announced that he was stepping down as the president of Y Combinator, the Valley’s marquee startup accelerator. And now we know what exactly he is trying to do next: Building what he is calling a “capped-profit” company that could be a model in Silicon Valley — where firms are struggling to determine whether they have any responsibilities to the world beyond making money for their shareholders.

The ongoing AI revolution will change the world and our live. AI is a tremendous tool, but it could also unleash terror. We need ethical AI governance.

As the capabilities of Artificial Intelligence (AI) grow more powerful, we are concerned the data science community is unprepared for the power we now wield.

In a few years, banks that fill their loan books with so-called positive-incentive deals could be better placed to not only attract clients, like sustainability conscious millennials, but also lower funding costs.

The ethical issues swirling around artificial intelligence (AI) are under-researched, with surprisingly little serious academic investigation into AI ethics, despite the huge amount of money pouring into the field and the rampant pace at which the technology is advancing.

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

I recently talked to a group of kids about AI. I asked them to come up with ideas for how AI could be used. I was struck by their genuine interest in creating AI solutions that would help people.

Mastercard and The Rockefeller Foundation are funding a new data-driven model for collaborative philanthropy to the tune of $50 million.

Is the adoption of sustainability practices a form of strategic differentiation that can lead to superior financial performance? Or, is it a strategic necessity that can ensure corporate survival but not necessarily outperformance?

Artificial intelligence is sometimes portrayed in apocalyptic terms as robots stealing our jobs or even our lives. But what about its uses for good?

Company leaders must acknowledge their blind spots, respond to the needs of diverse groups, and focus on the measures that really work.

Payments disruptors such as Stripe and Braintree, digital banks such as N26 and Fidor, and digital lenders such as Klarna are leading the way when it comes to penetrating public consciousness.

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

The 135 most ethical companies were announced this week from the Ethisphere Institute. The timing is fortuitous with the upcoming AI for Good global AI dialogue including accountability, responsibility, transparency, fairness, equity and ethics.

Regards croisés d'Annie Blandin et Benoit Tabaka pour l'Institut Montaigne

Mark Zuckerberg doesn’t understand what privacy means—he can’t be trusted to define it for the rest of us.

Idealism can eventually bow to financial pressure and artificial intelligence companies, big and small, can change course.

When companies embark on these digital transformations, it's usually with a goal in mind — one increasingly common goal is the pursuit of sustainability.

Research lab OpenAI shared details of a new text-generation algorithm, but it withheld the model itself, worried about "malicious applications." Some researchers in the field have criticized the move, saying it restricts research and encourages hype.

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

Classical economics taught business leaders that social and environmental issues were externalities that had no effect on the business, but the evidence all around us shows that this is wrong.

Artificial Intelligence talent is this generation’s atomic weapon. There is an AI arms race between business and governments to amass talent and become the next superpower, but only ethics and regulations can ensure that AI is only used as a force for good.