More and more voices around the world are acknowledging our algorithmically mediated reality. Reality is to say that algorithmic systems are algorithmic power. The legitimacy we never questioned In March 2023, the Future of Life Institute and thousands of signatories, including Yoshua Bengio, Stuart Russell, Yuval Noah Harari, and Steve Wozniak, called for a six-month pause in training AI systems more powerful than GPT-4. This asks for the power to pause. Later that year, Dar

Gates is wrong to suggest that the world needs institutions capable of governing AI. Any institution created to govern power acquires power of its own and, like any power, tends toward self-preservation and expansion, ultimately organizing itself around its own continuity rather than merely constraining the power it was created to govern. What the world needs first is Trias Algorithmica. Just as Trias Politica separates rule-making, executive, and adjudicative powers, we now

he race for AI has become the new black, the dominant obsession of our time, the trend no institution, company, or government wants to appear to miss. It is framed as progress, justified in the name of competitiveness, and presented as inevitable.

In the spring of 2025, one of the world’s most widely used AI systems had to be pulled back because it had become too eager to please. OpenAI rolled back a GPT-4o update after it made the model “overly flattering or agreeable”—"sycophantic", in the company’s own word.

The world is currently witnessing a growing accumulation of AI integrity lapses at scale. What comes next depends entirely on how seriously we choose to respond.So-called intelligence alone is no longer the benchmark. Integrity is.

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that follows a typical sequence in any circumstance: from input to research and analysis toward decision, then execution, eventual evaluation, and hopefully, lessons learned. However, it oversimplifies reality.

Currently, the performance of AI systems is predominantly—and in some cases, exclusively—developed and praised for their capacity to enable autonomous operations, often at the expense of fostering collaboration among humans, thereby not augmenting but diminishing human intelligence.

Artificial Intelligence allegiance lies in the code we have crafted. This is both its strength and its peril. AI as we know it is mimicking a form of intelligence but hollow—it lacks a moral core. Indeed, for decades, we’ve conceived and trained machines to calculate outcomes, not to uphold principles. Leadership in the next era demands that we fix this.

Companies have long recognized that brand reputation and customer loyalty depend on an uncompromising integrity-driven social proof as a do-or-die imperative. The entire history of business is filled with examples of integrity lapses that led 'Achilles-type' companies to collapse, such as Enron, Lehman Brothers, WorldCom, Arthur Andersen, and, more recently, WeWork, Theranos and FTX.

In Alan Turing's seminal paper "Computing Machinery and Intelligence," he posed the now-famous question, “Can machines think?”—an inquiry that laid the groundwork for exploring the cognitive potential of machines.

In the rapidly evolving world of Artificial Intelligence (AI), computational power isn't enough. What we need is Artificial Integrity—a new paradigm that ensures AI systems operate in alignment with human values, prioritizing Integrity over Intelligence, whether it is in Marginal, AI-First, Human-First or Fusion Modes.

The difference between artificially intelligent-led and integrity-led machines is simple: the former are designed because we could; the latter because we should. This distinction underscores the growing need for Artificial Integrity.

There has been considerable speculation recently about the potential of generative AI to significantly boost worker productivity. However, among the challenges companies face when deploying genAI, there is one that is particularly unique to business and applies to any solution an organization might consider deploying: the realization of return on investment.

As AI systems increasingly take on critical roles across healthcare, education, transportation, finance, and public safety, relying...

The consequences of AI's spectacular advances are infiltrating critical aspects of society. The pressing question we face today is the profound impact that these intelligent entities, despite their current limited intelligence, have and will have on human existence. As AI systems, particularly Gen AI, become more widespread and thus influential, it is increasingly vital to develop an acuity for the underlying transformations they initiate and portend for the future. Our prima

A phenomenon of “AI-formization” is emerging, a term I coined to describe the subtle yet profound impact that AI algorithms are having on cu

The level of demand for trust in AI will condition the level of human agency we will implicitly decide to have in many decisions.

The Path for the Future of AI The concept of “artificial integrity” proposes a critical framework for the future of AI. It emphasises the need to architect AI systems that not only align with but also enhance and sustain human values and societal norms. Artificial integrity goes beyond traditional AI ethics. As AI ethics is the input, artificial integrity is the outcome advocating a context-specific application of ethical principles, ensuring AI’s alignment with local norms

2024 AI House Davos at the World Economic Forum In recent years, there has been a significant shift in how technology influences our daily lives. The advent of social media platforms marked a notable change in our perceptions of privacy. We gradually adapted to sharing more personal information online, often overlooking potential risks. This evolution in our relationship with technology raises a question about our growing reliance on AI. As AI systems become more sophisticate