Category: Artificial Intelligence
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AI National Policies – I
National policy development on new digital technologies has become a staple since the emergence of the Internet in the early 1990s. It has certainly not been limited to most advanced countries. Nations in the Global South have also climbed the same steep and now long policy slopes, albeit rarely being leaders in emerging areas. Catching…
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AI Topography
For the last 30 years, the seemingly endless number of so-called technology revolutions invading our expansive yet decaying landscape has been accompanied by a proliferation of wide-ranging publications, usually playing catch-up while trying to predict the future on the spot. That has certainly been the case since the official birth of the Internet. In the…
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Waiting for yet another Industrial Revolution
The PC revolution. The Internet revolution. The mobile revolution. The social media revolution. The blockchain revolution. And the AI re-revolution. We seem to be living in times of Permanent Revolution. Also reminds me of the Age of Revolution that thrived a couple of centuries ago. Back then, social uprising calling for regime change was the…
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AI and Development Policies
Strongly supported by behemoth tech companies, the “ethical and responsible” AI discourse has almost completely overshadowed the relevant conversation on the potential socio-economic impact the resurgent technology might have in developing countries. While such discourse’s subtle agenda, apparently now failing, is essentially aimed at avoiding any government regulation by promoting “AI for good,” research on…
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Greater “AI for Good”
The proliferation of top, best, fails and prediction posts on almost any topic is now a staple of the annual transition from one year to the next. As the new year starts seeing the light of day, we seem compelled to take stock of the previous 365.25 days and poke more in-depth into the short…
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Better “AI for Good”
While the dystopian camp perceives digital technologies as a formidable, perhaps even unsurmountable threat to society, those on the other, much more optimistic side do not seem to get tired of repeating its almost countless benefits. The latter camp apparently has the upper hand, at least for now, as its message captures most daily media…
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Contentious Politics in the AI Age
Initially touted as revolutionary and progressive in the 1990s, the lightening evolution of digital technologies, running on the coattails of continuous innovation, has been accompanied by the rise of both extreme socio-economic inequalities and loud and widespread populism, nationalism and overt racism. Many countries are undergoing de-democratization processes undergirded by very resilient neoliberalism, while claim-making…
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Deep Learning and Breast Cancer: Improving Detection?
A recent paper published under the auspices of Google Health makes a case for using deep learning algorithms to improve breast cancer detection. The research has been positively received by most and widely publicized as yet another victory of intelligent machines over weak, dumber humans. Only a few have been critical for good reasons. In…
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Yet Another Global AI Index
As Artificial Intelligence (AI) seemingly continues to permeate all interstices of society, measuring its undaunted progress in the age of data is more than a priority. In a previous post, I share some insights on the Global AI Readiness Index that covered almost all UN member states. The new Global AI Index (GAII), created by…
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Blockchains and Food Safety
Trade is one of the main trademarks of the globalization process. Nowadays, most countries exchange products and services regularly and use local comparative advantages to specialize in specific trade sectors and/or commodities. Food and agricultural products are important components of this process. Within countries, rapid urbanization has increased the demand for food. Simultaneously, the number…
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Measuring Artificial Intelligence Development
In the last decade, Artificial Intelligence (AI), including siblings machine learning and deep learning, has been growing by leaps and bounds. More importantly, the technology has been deployed effectively in a wide range of traditional sectors bringing real transformational change while raising fundamental socio-economic (joblessness, more inequality, etc.) and ethical (bias, discrimination, etc.) issues along…
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Biased Artificial Intelligence
A recent piece in MIT’s Technology Review nicely summarizes the issue of bias in AI/ML (AI) algorithms used in production to make decisions or predictions. The usual suspects make a cameo appearance, including data, design and implicit fairness assumptions. But the article falls a bit short as it does not distinguish between bias in general…
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Algorithms and Algocracy – II
In the previous post, I provided a simple definition of an algorithm to then explore its use in the digital world. While algorithms live from the inputs they are feed, digital programs such as mobile apps and web platforms are comprised of a series of algorithms that, working in sync, deliver the desired output(s). Algorithms…
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Algorithms and Algocracy – I
While the concept of algorithms has been around for centuries, the same cannot be said about algocracy. The latter has recently gained notoriety thanks partly to the renaissance of Artificial Intelligence and Machine Learning (AI/ML) and is frequently used to describe the increased use of algorithms in decision-making and governance processes. Indeed, the so-called Singularity…
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Uncertainty and Artificial Intelligence
In a world where perfect information supposedly rules across the board, uncertainty certainly challenges mainstream economists. While some of the tenets of such assumption have already been addressed – via the theory of information asymmetries and the development of the rational expectations school, for example, uncertainty still poses critical questions. For starters, uncertainty should not…