Ethical Leadership and Governance

While AI will reshape the nature of work, it will do so in a way that makes DEI both a baseline expectation and a critical requirement for companies seeking long-term growth. For that reason, businesses must focus on designing and developing AI systems that empower all their users by 1) embedding DEI into the design of your AI systems; 2) incorporating DEI into any AI-related upskilling programs; and 3) using AI as an opportunity to boost DEI.

As investor and consumer understanding evolves, companies face pressure to demonstrate ESG risk management and performance with transparency and credibility.

Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.

Achieving ESG goals and building sustainability as a competitive advantage requires integrating technology and data from the beginning.

A strong ESG program is built on data – and integration of ongoing, real-time data is key to meeting ESG commitments. Here's how corporations can do it.

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

Integrity must be a priority for leadership if it’s to be taken seriously companywide.

Algorithm-driven systems can easily crawl and scrape unstructured company data from a range of sources, and subsequently parse and convert this into usable structured data.

Investors can hence better comply with ESG requirements and make more informed decisions by incorporating ESG data into their investment strategies.

In NewVantage Partners 2019 Executive Survey, more than half of executives — 55.7% — pointed to data ethics as a top business priority.

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.

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.

A bill introduced by senators Mark Warner and Josh Hawley would require big tech companies to disclose the data they collect and value it for each user.

Antitrust action alone won’t solve all the problems posed by companies like Facebook, Google, and Amazon.

Behaving responsibly isn’t always easy—particularly as the world continues to grapple with the ethical implications of advanced new AI solutions—but it almost always pays off in the long run.

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

How should companies begin to think about ethical data management? What measures can they put in place to ensure that they are using consumer, patient, HR, facilities, and other forms of data appropriately across the value chain—from collection to analytics to insights?

With better data at their fingertips, firms can make more environmentally sustainable decisions. But tech alone isn't the answer

It’s never too late to create and implement a data ethics framework, but the best step a company can take is implementing this framework from the outset of the business.

Investors need more trustworthy sustainability data. Regulators should leave space for better products to emerge, while remaining alert to well-known patterns of misconduct in capital markets.

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.

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.

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

How data trusts, collaboratives & coops can help govern data for maximum public benefit

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

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