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The Real AI Race Is Not The One You Think
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.

Hamilton Mann
Mar 231 min read


Anthropic’s Study Does Not Measure AI’s Labor-Market Impacts
Anthropic recently published a study presented as evidence about AI’s early labor-market impacts. Yet the paper’s empirical core comes from a much narrower source than its title suggests: Claude conversations and API traffic. That makes the study much less decisive as a measure of AI’s labor-market impacts across the economy.

Hamilton Mann
Mar 231 min read


Why You Shouldn’t Be Replaced By AI, Even By Someone Using It
We've been told that being knowledgeable and focused on everything we are trying to achieve is a prerequisite for success.
That is a misconception for human intelligence and paradoxically a must-have for artificial intelligence (AI).

Hamilton Mann
Mar 231 min read


Hype And Hope Don’t Hide AI’s Hurdles
The deployment of Generative AI (GenAI) is often highlighted in current discussions as a means to achieve significant productivity gains in business. This is nothing new. Any tool adopted by a company has the primary mission of supporting its performance.

Hamilton Mann
Mar 231 min read


Don’t Get Caught Up In The GenAI Hype
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.

Hamilton Mann
Jul 21, 20251 min read


As Life And Modern Democracies Hang By A Click, So Does The Hypervasive AI Influence
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.

Hamilton Mann
Jun 15, 20251 min read


There Will Be No Human-Centered AI Without Humane Economics
Many economic actors around the world are seeking the next generation of new business models, focused, passionate, stubbornly determined to take advantage of digital technologies, particularly AI. The market capitalization of the top 100 global companies reached $40 trillion by the end of March 2024, marking a record level in five years. Technology giants recorded the highest growth among all companies, representing nearly one-third of this total market capitalization on thei

Hamilton Mann
Jun 15, 20251 min read


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

Hamilton Mann
Mar 1, 20251 min read


Artificial Integrity
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

Hamilton Mann
Apr 13, 20241 min read


XAI
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

Hamilton Mann
Oct 23, 202316 min read


Trustworthy AI Is No Less Than Sustainable Development.
Beyond the challenges of safety and security posed by artificial intelligence, what environmental issues does its development raise? For Hamilton Mann, safe and trustworthy AI cannot be detached from a sustainable dimension. In this paper, the author provides an overview of the environmental issues associated with the development of AI while outlining potential regulatory pathways. The race for artificial intelligence is on, and we cannot afford to overlook its systemic impac

Hamilton Mann
Sep 1, 20236 min read


The Looming Algorithmic Divide: Navigating the Ethics of AI
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

Hamilton Mann
Jun 6, 20235 min read


Be the Bird
Some innovative projects will become viable businesses. Most innovative projects won’t. There is no miraculous recipe. This being the case, Many people assume that creating new ideas is the beginning. Some start their business innovation journey by firstly calling for many ideas. In fact, many people assume that creating new ideas is the beginning of any business innovation funnel — Actually that’s not true. It is not the idea but the reason why you are looking for ideas that

Hamilton Mann
Apr 29, 20199 min read
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