Massive AI Infrastructure Planned in the E.U. and U.S.: A Synergistic Opportunity

The relationship between human and artificial intelligence is a tantalizing but formidable investigative topic requiring much more intelligence than I can proffer. The likelihood of interlarding emotion and desire to warp the former under the gravitational pull of selfishness may render us the weaker party even though, at least as of 2026, we humans still held the strings. That the human mind is not far-reaching enough in its intellectual gaze may be why we are so afraid of the potential of AI as being able at some point to displease our desire to control it (and just about everything else under the Sun). The advent of planned AI gigafactories in the E.U. and giant data centers in the U.S. presented American and European elected officials in 2026 with a synergistic opportunity that, if successfully achieved, could cause a leap in AI while paradoxically showcasing the human mind and thus possibly increasing our confidence in ourselves while decreasing our corresponding fear of AI.

The full essay is at "Massive AI Infrastructure Planned in the E.U. and U.S."

On the Pros and Cons of AI in Science

Will there eventually be an automated lab run by artificial intelligence? Could AI someday order equipment, conduct reviews of prior empirical studies, run experiments, and author the findings? What does this mean for scientific knowledge? Is it possible that foibles innate to how we learn could be avoided by AI? Can we provide a check on the weaknesses in AI with respect to knowledge-acquisition and analysis, or will AI soon be beyond our grasp? It is natural for us to fear AI, but this feeling can prompt computer scientists obviate the dangers so our species can benefit from AI in terms of scientific knowledge.

The full essay is at "On the Pros and Cons of AI in Science."

Ex Machina

The Latin noun, machina, can be translated as “machine, engine, military machine, contrivance, trick, or artifice.” The Latin word, e, or ex, means “from” or “out of.” Hence, ex machina can mean out of a machine, which figuratively interpreted can refer to a certain function of a machine that does not seem possible for a mere machine to do.  Artificial intelligence, which is simply machine-learning, in a computer can seem to be outside or apart from what a mere machine built by humans can do. Ex machina is actually part of the phrase deus ex machina, which originally referred to a god or goddess appearing above the stage in a Greek tragedy—the deity being pulled across the top by pulleys (i.e., machina). A sacred deity appears above the other actors by means of profane, mechanical pulleys that do not seem capable of presenting deities, so the latter seem to come out of rather than being of the former. AI, or artificial intelligence, may seem to be coming out of an android because the “human” body is made of materials, including pullies perhaps, that do not seem capable of learning and other human likenesses. In fact, machine learning, which is beyond the programming that is written by humans, might seem at least initially like a miracle, or even as godlike relative to the materials that make up a computer and android “body.” Deus ex machina. More realistically, such an android is likely to appear human rather than divine. David Hume claimed that the human brain inexorably hangs human attributes on divine simplicity (i.e., a pure notion of the divine as One); perhaps today he would point out that we do the same thing when we encounter AI. The danger of the all-too-alluring anthropomorphism of which the human brain is so capable can not only be in viewing an android with AI as human, but also in lauding the inventor/programmer of the AI android as a god for having “created” such a “living” entity that can think for itself and even appear to feel and act as we do.  The movie, Ex Machina (2014) easily dispels both applications of deification. Furthermore, any anthropomorphic illusion that the androids are human and can be taken ethically as being so is also dismissed by the end of the film. Any apotheosis (i.e., rendering someone or something as divine) is so tenuous that the film’s main two human characters illustrate for us just how fallible we are in our understanding and perception of AI in an android-form. The danger is real that AI could get ahead of our emotions and reasoning such that we could leave ourselves vulnerable to being harmed by AI androids by projecting the human conscience into what is actually computer programmed coding. 

The full essay is at "Ex Machina."

Managing Externalities in Business: Heliogen’s Breakthrough in Combatting Climate Change

A company’s values and norms can resonate to some extent with their societal counterparts by the company providing goods and services of value to customers resulting in a reduction of their suffering or increase in their happiness. Providing a net-value (the value to the customer less the price) to people can resonate with societal values and norms that esteem happiness and frown on suffering from want. Indeed, a utilitarian ethic can apply to the provision of as much value as possible in the form of goods and services that reduce the suffering or increase the happiness of as many people as possible. Legitimate wealth can “result from having provided a significant amount of value to a significant number of people.”[1] Even fortunes, according to this ethic, are justified by the provision of “a very unusual form of value to a very unusual number of people.”[2] Utilitarianism is popularly known from the expression, the greatest good to the greatest number (i.e., of people). Of course, an ethic justifies what should be, whereas the extent to which a company’s values and norms approach those of society is a descriptive matter. Describing the degree of fit is not to say that a company’s values and norms should (i.e., normatively) have that degree of fit, or even more. Ethical reasoning would be needed to supply the normative contention; such reasoning involves argumentation that the extant societal values and norms should be held generally speaking and specifically by companies. The fact that the values and norms of many German companies in the NAZI era resonated with societal values and norms is not to say that the managements should have sought to fit organizational values and norms with NAZI values and norms. The field of business & society, which is oriented to the degree of fit that exists descriptively between a company (or the business sector) and a society (or internationally-held values and norms), is thus distinct from business ethics, which is oriented to providing ethical justification for what managers and companies should do. With regard to the former field, companies can orient themselves even closer to societal values and norms than by providing value to customers and even taking other stakeholder interests into account by being primarily oriented to taking on a serious societal or global problem. In terms of business ethics, such an orientation can be said to be one that a company should have because an unusual number of people (even beyond customers and other stakeholders) could receive an unusual amount of value. Climate-change is such a problem, and Heliogen’s breakthrough exemplifies such an extraordinary mission.

The full essay is at "Externalities Management and Climate Change."

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1. Rod Burylo, The Wealthy Buddhist: Buddhist Ethics, Right Livelihood, and the Value of Money (Nepean, Canada: The Sumeru Press, 2018).

2. Ibid.

Tech Industry Self-Regulation: Sufficient to Handle the Ethics of A.I.?

Five of the world’s largest tech companies—Google’s Alphabet, Amazon, Facebook, IBM, and Microsoft—had by September 2016 been working out the impact of artificial intelligence on jobs, transportation, and the general welfare.[1] The basic intention was “to ensure that A.I. research is focused on benefiting people, not hurting them.”[2] The underlying ethical theory is premised on a utilitarian consequentialism wherein benefit is maximized while harm is minimized. The ethics of whether the companies should be joining together when the aim is to forestall government regulation is less clear, given the checkered pass of industry self-regulation and the conflict of interest involved,

The full essay is at "Tech Industry Self-Regulation."

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[1] John Markoff, “Devising Real Ethics for Artificial Intelligence,” The New York Times, September 2, 2016.

[2] Ibid.