What artificial intelligence lacks, and what few if any benchmarks truly formalize or meaningfully penalize, is integrity. While others are racing toward more artificial intelligence within artificial intelligence itself, the real challenge of our era is the race toward more Artificial Integrity over intelligence. Check out the full article on Forbes

Mathematical models are often treated as if they were neutral instruments. They are presented as disciplined, objective, accurate and insulated from human subjectivity. In management, finance, public policy, and now artificial intelligence, mathematics is frequently invoked as the language that removes ambiguity and replaces opinion with fact. But this is misleading. Mathematics can formalize a worldview with extraordinary precision. It can make decisions consistent, scalable

We need technology, because it offers solutions capable of reducing suffering, mitigating intolerable risks, and improving lives.But no technology should ever be paid for at the price of a cognitive debt that would cost us the sovereignty of thought, and, with it, sever our connection to who we are. Evaluating the artificial integrity of digital technologies, and even more so when they include AI, is a responsibility inherent to any so-called digital transformation. This ev

Persuasion has no dark side. Only the intentions of those who wield it do, and GenAI is not inherently endowed with such intentions, neither for itself nor by itself.

Technology is providing innovative tools and methods for creation, while simultaneously transforming how audiences interact with and appreciate art. Digital art forms, virtual reality, 3D printing, and the use of artificial intelligence are redefining traditional creative boundaries, fostering an era of unprecedented artistic expression and ingenuity.

We spend our time clicking for much of our lives. Each of these clicks, while seemingly benign, collectively feeds into a vast digital ecosystem in which our preferences and behaviors are not only recorded, but analyzed and used to influence our decisions at an unprecedented scale.

Digital for Good is about acknowledging the paradoxes posed by technology to address both its benefit and its unsustainable nature for the w

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.

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. Today, as we witness AI systems moving beyond narrow tasks into increasingly autonomous roles, this question evolves into a new, urgent line of inquiry: “Can machines act with integrity?” Just as Turing’s work invited us to ponder the boundaries of machine cognitio

Artificial Intelligence may be the most evocative, but also the most scientifically inaccurate term given by scientists to name a scientific field. Firstly, it suggests that we already have such knowledge of the human intelligence spectrum that we are able to recreate it all, artificially. In reality, it is an artificial limited intelligence that we have. Secondly, it often implies the belief that these so-called "intelligent" systems are indeed intelligent. Beyond the utopia

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

In the pursuit of harnessing the capabilities of Artificial Intelligence (AI), businesses and researchers grapple with paradoxes that emerge when aiming to achieve AI explainability. This article delves into six primary AI explainability paradoxes: Generalization vs. Particularization, Complexity vs. Simplicity, Overfitting vs. Adaptability, Engineering vs. Understandability, Computational Efficiency vs. Effectiveness, and oriented-learning vs. self-learning. These paradoxes

2023 MIT Platform Strategy Summit Check out the MIT Platform Strategy Summit full report.

In recent months, the rapid adoption of generative artificial intelligence (Gen AI), exemplified by OpenAI’s software ChatGPT, has propelled AI into the global spotlight. However, amidst the fascination with the new super-human capabilities offered by AI, there is an emerging “algorithmic divide” fueled by both disparities in technology access and literacy, along with cognitive biases inherent in AI models trained on available data. Bringing these challenges to the forefront