As artificial intelligence reshapes economies and societies, the central challenge is no longer what AI can do — but what it should do. This article outlines WFEB’s emerging approach to embedding ethics into AI in ways that strengthen both societal well-being and long-term business value.
Will artificial intelligence become one of the greatest forces for good in human history, or one of the greatest risks humanity has ever created? This article explores the emerging work of the World Forum for Ethics in Business (WFEB) that seeks to advance AI in ways that deliver both societal and business value.
We approach this endeavor with humility — as part of a much larger global effort. That is why we are holding consultations around the world to co-create a practical and impactful approach. We most warmly invite your thoughts and inputs to shape our way forward.
This article explores four questions that guide our work.
First — Why: Why ethical AI matters so deeply.
Second — What: What key risks we must address.
Third — How: How we can embed ethics into AI.
Fourth — Who: Who must come together to make this possible.
First, Why?
Artificial intelligence has rapidly become one of the most powerful technologies humanity has ever created. It is unlocking breakthroughs in medicine, science, and creativity at a pace unimaginable just a few years ago. Many of you are already experiencing how tools like ChatGPT are radically transforming how we learn, communicate, and work.
But the same technology that can transform lives can also inflict profound harm. It can turbocharge disinformation faster than truth can travel. It can steal our privacy, deepen injustice, and rob hundreds of millions of their livelihoods.
Remarkably, some of the very pioneers who built modern AI — including Geoffrey Hinton, often called the “Godfather of AI” — have warned of far-reaching civilizational risks from systems that could one day operate beyond human control. These risks range from AI-enabled weapons, to Artificial General Intelligence — AI systems that can think and act like humans, but whose goals could conflict with our values — to humans increasingly surrendering judgment to algorithms like ChatGPT that may behave unpredictably. And there is another deeply troubling concern: the immense concentration of technological power — and vast amounts of our personal data — in the hands of just a few tech giants.
For these reasons, AI now stands as one of humanity’s greatest ethical tests.
The question is no longer whether AI will shape our world — it already has. The real question is whether we will shape AI — with ethics, humanity, and wisdom. In other words: not what AI can do, but what AI should do.
And the choices we make now will determine whether technology serves humanity — or whether humanity becomes a servant to its own creation.
That is why we at the World Forum for Ethics in Business — WFEB — see AI not just as a technological revolution, but also as an ethical revolution.
Rising from the ashes of the 2008 global financial crisis — that was fueled by reckless corporate greed — WFEB was founded to champion a powerful conviction: business can be both profitable and ethical. That conviction has proven true — companies ranked as the World’s Most Ethical outperform their peers by 25 percent.
If ethics can elevate business, surely it can elevate technology. That is why WFEB has chosen to focus on ethical AI — to ensure that the future belongs not to the most powerful algorithms, but to the most visionary innovators with a conscience.
Second, What?
That takes us to our second question — what risks must we address?
To help companies tackle these challenges, we are developing an AI Ethics Partnership — a platform to advance ethical AI in ways that strengthen both societal and business value.
Of course, we confront many profound ethical challenges with AI — from the existential civilizational risks that some pioneers warn about, to the enormous energy demands of AI systems and their growing climate impact, to the explosion of deepfakes and AI-enabled sextortion.
Given this vast landscape, we are beginning with four of the most urgent and actionable ethical challenges in AI today:
- disinformation,
- bias and discrimination,
- data privacy,
- and the future of jobs.
First: Disinformation
We live in a world turbocharged by fake news — and AI will make it far worse. The EU warns that by 2030, 70 percent of online content that you and I see could be AI-generated disinformation — that’s 70 percent, folks!
To counter this, our AI Ethics Partnership enables companies to adopt measures to watermark AI-generated content and disclose its source. The C2PA coalition has set such watermarking standards — now adopted by major news outlets. If we can scale these up, AI can become a tool for truth rather than falsehoods.
Second: Bias and Discrimination
In the Netherlands, an algorithm wrongly flagged 26,000 families — many immigrants — for welfare fraud — destroying lives and forcing the national government’s resignation. To prevent such harm, our AI Ethics Partnership enables companies to adopt independent bias audits and more diverse training data. For instance, when U.S. scientists expanded medical AI systems to include more diverse data, those systems’ accuracy in detecting breast cancer in Black women jumped 20 percent — proof that fairness in AI can mean fairness in life itself.
Third: Data Privacy and Surveillance
Today, our private data is being stolen, used, and marketed without our knowledge. The Cambridge Analytica scandal harvested data from 87 million Facebook users to manipulate elections.
To protect privacy, our AI Ethics Partnership enables companies to adopt privacy-by-design and privacy-by-default. One example is Apple. By treating privacy as a human right, it has earned deep consumer loyalty and powerful brand recognition.
Fourth: Jobs
AI could disrupt 300 million jobs worldwide. Our AI Ethics Partnership enables companies to adopt workforce impact disclosure and invest in retraining. AT&T, for example, invested $1 billion to reskill 100,000 employees.
These examples show that companies can take concrete steps to address some of AI’s most pressing ethical challenges.
The “How”? Our Role and Approach
This brings us to our third question: How?
How do we encourage and enable companies to embed ethics into AI?
As the world grapples with how to meet this challenge, three broad approaches are emerging:
First, regulation — where governments set limits on risk and mandate compliance. A notable example is the EU’s AI Act, the world’s first comprehensive law on artificial intelligence. It requires powerful AI systems to meet strict standards for safety and transparency, particularly when they affect people’s jobs, privacy, or access to essential services.
The second approach is advocacy — where civil society watchdogs defend digital rights and expose opaque algorithms.
Both approaches are essential — but they restrain bad behaviour rather than inspiring good behaviour.
That is why WFEB advances a third, complementary approach: inner ethical leadership with outer market dividends. This approach helps companies and leaders cultivate an inner, conscience-driven commitment to embed ethics in business and AI — building trust with consumers and investors, and ultimately generating market dividends.
WFEB’s approach is anchored in a unique fusion of ancient Indian wisdom and modern AI. Our Founder, Gurudev Sri Sri Ravi Shankar, expresses this beautifully when he says: “Artificial Intelligence can only reproduce what is stored. Absolute Intelligence is boundless.” Absolute Intelligence is the all-pervading wellspring of conscience, creativity, and compassion. WFEB’s approach seeks to awaken this deeper intelligence in leaders and teams — so that human conscience, compassion, and values guide the powerful technologies we create, rather than leaving them to the cold logic of algorithms.
How do we support companies to implement this approach? A simple metaphor illustrates it well.
I love the three-layer white chocolate mousse cake from my favorite bakery. Each layer is delicious on its own. But the magic happens when the mousse runs through all three layers.
So too with ethical AI:
The top layer is outcomes — the visible value ethical AI creates for business and society.
Here, the task is to embed ethical commitments like watermarking into AI code — which we are advancing through partnerships with AI specialists, including experts in Silicon Valley. And we aim to make those resulting commitments visible and credible through independent certification that consumers and investors can value and reward. And we aim to make those resulting commitments visible and credible through independent certification which consumers and investors can value and reward. Two-thirds of consumers say they are willing to pay more for ethical products. That is why ethics is becoming a new form of competitive advantage.
Just as consumers reward IKEA for FSC-certified furniture and Starbucks for sustainably sourced coffee, they will surely value even more the ethical certification of companies that use our data — because our private data, after all, is far more precious to us than wood or coffee beans.
Middle Layer — Collective Leadership and Culture
The middle layer of the cake goes deeper: from technology to people — from ethical code to an ethical culture that sustains responsible AI.
Ethics must be lived collectively. Through our flagship Transformative Leadership for Excellence (TLEX) program, WFEB helps leaders and teams cultivate a culture of compassion, camaraderie, and service to both consumers and society — which helps build a shared commitment to advance ethical AI.
Bottom Layer — The Inner Source
The third layer of the cake goes deeper still — to the inner source: the mind and heart of each leader and team member.
Our TLEX program uses evidence-based, innovative breathwork and meditation practices to help leaders nurture a calm, centered, stress-free mind. This awakens their deeper inner wellspring of conscience, compassion, and conviction to adopt and implement the commitments of the AI Ethics Partnership.
The reason is simple: when we are stressed and agitated, the instinct is to demand, “What’s in it for me?” But when we are calm and at peace within, our natural instinct flips to: “What can I do for you?”
That inner shift — from self-centeredness to service — is where ethics truly begins, and where the journey toward ethical AI must begin.
And it goes deeper to deliver a double dividend: external value from ethical AI for business and society, and inner value for the leader — the quiet joy, peace, and contentment from doing the right thing — from guiding even the most powerful machines with the wisdom of the heart.
When that inner source nourishes culture and outcomes — when all three layers align — then the mousse of ethics begins to infuse everything we create, through human intelligence or artificial intelligence. And this generates the unmistakable flavor of trust that consumers, employees, and investors value.
And there is another profound value still. When the mind becomes calm and centered, it becomes more insightful, perceptive, and creative. This deeper intelligence allows leaders to see possibilities machines alone cannot see, and to guide powerful technologies with wisdom rather than being guided by them. As AI systems grow more autonomous and powerful, human agency — guided by this deeper inner wisdom — must remain firmly in charge of the machines we create. That will be essential to mitigating the civilizational risks that AI may bring.
The “Who”?
This brings us to the final question: Who must make this happen?
We are looking to engage companies across geographies — from SMEs to large companies and big tech.
But one answer to the question of who is simple: you.
How can each of you help shape this future?
First, embed ethical guardrails into your company’s AI systems — for example by piloting the AI Ethics Partnership.
Second, cultivate an ethical culture in your organization through the three-layer approach.
Third, if you are an AI specialist, join our network of AI experts — including in Silicon Valley — who are volunteering to help pilot companies implement this approach.
Fourth, join our WFEB community — a global network of leaders and companies working to make ethical AI the new norm.
The Collective Field — From Lone Actors to Coalitions
Indeed, advancing ethical AI requires a global network — one capable of galvanizing a collective movement across the entire AI ecosystem.
It requires four actors moving together:
Governments setting the guardrails.
Big tech building the foundations.
SMEs applying AI at the last mile.
And civil society providing oversight.
But we must face a sobering reality. Today, a handful of tech giants control most frontier AI platforms, models, and data — giving them extraordinary power to embed ethical commitments — or to ignore them.
WFEB is actively engaging with Big Tech — including conversations with Google and Microsoft, and I will be visiting Silicon Valley next month — to explore partnerships on responsible AI.
Three incentives can help move big tech:
First, ethical-by-design is becoming a market advantage. Large customers — from banks to hospitals — increasingly demand watermarking, fairness, and privacy in the AI systems they rely on.
Second, ethics protects big tech’s license to operate. Deepfakes and data breaches destroy public trust and trigger regulatory backlash.
And third, talent increasingly chooses ethical companies. Many leading AI researchers are leaving firms they believe are falling short on ethical safeguards.
Yet companies also face intense competitive pressures to move faster than ethical guardrails can keep up.
Just a week ago, the AI company Anthropic declined a major U.S. defense contract worth hundreds of millions of dollars because it insisted on stronger safeguards to prevent its models from being used for mass surveillance and autonomous weapons. Despite punishing threats and bans from the Trump administration, its CEO Dario Amodei held that ethical line. But in a fiercely competitive AI space, OpenAI stepped in to take up that same contract. Yet the story has an intriguing twist: Anthropic is now seeing a remarkable surge in popularity, as users increasingly reward companies they trust to use powerful technologies responsibly. In fact, Anthropic’s AI assistant Claude shot to the No. 1 spot on Apple’s U.S. App Store, overtaking ChatGPT as downloads surged in response to the company’s stance on AI safeguards. And on the flip side, protestors have launched a “QuitGPT” campaign calling for sanctions against OpenAI for abandoning ethical guardrails.
This reinforces the core vision of WFEB: ethical leadership does not have to mean commercial disadvantage — it can generate powerful market dividends as we saw in the Anthropic case. Our vision is that the courage we saw in Anthropic becomes the norm rather than the exception. The future of AI will then be shaped not only by the most powerful models, but by the moral courage of the leaders and companies that deploy them.
SMEs play a vital role in making this shift possible. They may not control the AI models — but they control how AI is applied at the last mile. Because SMEs sit closest to consumers, their ethical choices build trust, which translates into market advantage. And when thousands of SMEs move together — choosing ethical AI providers and rejecting those that are not — they can send a powerful market signal that big tech cannot ignore. That is how we change the norms: not by waiting for giants to move, but by mobilizing the many to move together.
Similarly, the far-reaching civilizational risks of AI — from autonomous weapons to AI systems that operate beyond human control — cannot be solved by any one company or country alone. They require global cooperation, serious investment in AI safety, and far greater transparency from those building the most powerful models. Because governments — from the United States to China and Europe — and major tech companies are locked in an intense race for AI leadership, these safeguards will not emerge on their own. They will require something deeper — inner ethical commitment, moral leadership, and courage to do the right thing.
Building such a coalition of leaders may sound impossible. But let me close with an example from nature that shows how to make the impossible possible.
The Murmurations — When Collective Conscience Takes Flight
This is a phenomenon seen in starlings. Starlings are these small birds that are vulnerable to prey from the falcon — which is much bigger, and swoops down to swallow them up.
But as dusk falls, hundreds of thousands of starlings rise together in the sky, making a breathtaking formation called murmurations. These murmurations have a purpose — to drive the falcon away. And lo and behold, we see the awesome power of the collective.
Citizens and businesses — you and I — are like starlings. Alone, we feel helpless before the grand falcons of disinformation and surveillance, when AI seems vast, powerful, predatory.
But when we rise together, we too can form a murmuration that steers even the most powerful technology toward serving humanity.
The C2PA coalition brought companies together to combat disinformation through watermarking standards.
Now it is our turn — to forge our murmuration.
If you work in a company, join the AI Ethics Partnership — and invite others to join.
If you are a tech leader, join companies like Anthropic in forging a coalition that stands for ethical AI.
If you are a citizen, unite — and reward companies that lead with ethical AI.
For when the falcon peels away, it will not be because one hero stood alone — but because thousands of starlings rose together.
So let us rise — in a magnificent murmuration of conscience —
to ensure that Artificial Intelligence is guided by Absolute Intelligence;
that technology reflects our deepest human values, not merely the cold logic of algorithms;
that ethics helps AI fulfill its vast promise —
with humanity,
with wisdom,
and without harm.
The choices we make in this decade will shape the relationship between humanity and intelligent machines for generations. WFEB invites leaders, companies, and citizens everywhere to help co-create this approach and ensure that AI advances not only with power, but with conscience.
