More on ANDRORITHMS
What Are Androrithms?
ALGORITHM
A step-by-step computational procedure for solving a problem or making a decision. Algorithms are deterministic, scalable, replicable, and indifferent to meaning. They optimise for measurable outcomes. They do not understand — they process.
ANDRORITHM
The uniquely human counterpart to the algorithm. Androrithms are the traits, rhythms, and capacities of human experience that cannot be reduced to data or replicated by computation: empathy, ethics, imagination, love, agency, mystery.
3 Voices on the Same Divide
"Computers are stupid — they only provide answers." — Picasso
"Computers are for answers; humans are for questions." — Kevin Kelly
"Whatever is easy for a computer is hard for humans, and vice versa." — Hans Moravec
The Danger: Machine Thinking & Reductionism
Leonhard's 2025 update gives new urgency to a warning he first articulated in 2016. The danger is not that machines will destroy humanity. The danger is that we will become too much like machines — that we will internalise machine logic as the default way of understanding ourselves and each other.
"The biggest danger today is not that machines will eliminate us — but that we may become too much like them." — Gerd Leonhard
Machine Thinking — Defined
Machine thinking is the reduction of human life, relationships, and decisions to what machines can perceive, measure, and process. It treats people as data points, decisions as optimisation problems, and value as something that can be quantified.
Reductionism
Depicting or simulating the human experience in ways that "pass as a useful and entertaining copy of the real thing" — but are not the real thing. When we accept the simulation as sufficient, we lose the original.
Efficiency Supremacy
The assumption that optimising for speed, cost, and output is always the right goal. Many of the most important human activities — grieving, parenting, creating, loving — are beautifully, necessarily inefficient.
Competence Without Conscience
AI systems can be extraordinarily capable without any agency and awareness. Technology is amoral: it can be a present or a bomb. Its impact is determined entirely by the ethical choices of the humans who deploy it.
Digital Obesity
Over-reliance on digital mediation — apps, platforms, recommendation engines — that gradually atrophies our human capacities. "Bicycles for the mind" become "bullets for the soul" when they substitute for rather than augment human judgment.
Automation of the Self
The most subtle danger: allowing AI to make so many decisions on our behalf that we lose the practice of human judgment. Agency, like any muscle, atrophies without use.
The Metaperverse
Leonhard's warning about immersive digital worlds that are "heaven for business and commerce, hell for human relationships" — replacing lived reality with highly optimised simulations that serve commercial rather than human ends.
The Response: Cultivating Our Androrithms
Leonhard's argument is not Luddite. He embraces technology as one of humanity's greatest achievements. His call is for intentional balance: as we give more to machines, we must invest more in what machines cannot do. This requires deliberate effort at every level — individual, institutional, and civilisational.
The HECI Framework — Rebooting Education
STEM education — Science, Technology, Engineering, Mathematics — has dominated the last two decades of educational investment. Leonhard argues it must be matched with HECI:
H - Humanities
Literature, history, philosophy, languages. The disciplines that teach us how to interpret experience, understand diverse perspectives, and grapple with meaning.
E - Ethics
Moral reasoning as a core skill. The practical ability to navigate competing values, identify harms, and make decisions that serve the long-term human good.
C - Creativity
Art, music, design, innovation. The cultivation of original thinking and the courage to make something genuinely new — not just optimise the existing.
I - Imagination
Speculative thinking, scenario planning, futures literacy. The capacity to envision what does not yet exist — the foundational skill of all human progress.
Five Calls to Action
01
Invest in HECI alongside STEM
Every school curriculum, corporate training programme, and university must treat humanities, ethics, creativity, and imagination as essential — not elective — disciplines. The future needs Menschlichkeit as much as machine literacy.
02
Build Digital Ethics Councils
At every level — country, company, continent — create standing bodies with real authority to determine the ethical application of new technologies. Not advisory committees, but genuine governance with enforcement capacity.
03
Regulate AI in the Human Interest
"Ethics are the difference between having the power or the right to do something, and doing what is the right thing to do." Technology is amoral; its governance must not be. The EU AI Act is a starting point, not a destination.
04
Protecting Human Experiences
Deliberately protect spaces — in time, in relationships, in commerce — where human messiness, inefficiency, and serendipity are valued and preserved. Not everything should be optimised. Some things should simply be experienced.
05
Measure What Really Matters
Replace or supplement GDP with the 5Ps: People, Planet, Purpose, Peace and Prosperity. Economies that only measure economic output will optimise for it at the expense of everything else that makes life worth living.
The Closing Argument
In 2025, as large language models can write essays, compose music, generate code, and hold conversations indistinguishable from human ones, the question of what remains irreducibly human has never been more urgent — or more answerable.
"Our ultimate job is to be human. The slow but systematic reduction or even discarding of androrithms has already started all around us. We should not attempt to mend, upgrade, or otherwise eradicate what makes us human; rather, we should design technology to know and respect these differences — and protect them." — Gerd Leonhard
The answer to the machine age is not to resist machines — it is to become more deeply, more deliberately, more courageously human. The future belongs not to those who can out-compute AI, but to those who can out-human it: with empathy, wisdom, conscience, and love.
Sources