Digital Judgment Day

Is it true that an algorithm can save lives?

Let's think about this question together

Modern medicine stands at the intersection of two powerful phenomena: the vastness of clinical data and maturing machine learning methods. The year 2025 is no longer a time of promises; it's a time of real implementations, successes, but also questions that touch upon the very essence of humanity.

So… can an algorithm really save lives? And if so, whose lives is it saving, and whose is it redefining?

AI in Medicine: The Present, Not the Future

Nie mówmy o „kiedyś”. Już dziś setki zatwierdzonych przez FDA systemów i urządzeń AI wspierają lekarzy w codziennej pracy: od radiologii i dermatologii po kardiologię. Sztuczna inteligencja analizuje obrazy, rozpoznaje zmiany chorobowe i pomaga decydować o leczeniu. Poznaj więcej spostrzeżeń ekspertów na temat : Sztuczna inteligencja w opiece zdrowotnej: przyszłość opieki nad pacjentem i zarządzania zdrowiem!

The World Health Organization (WHO, Guidance on Generative AI in Health, 2024) points out that properly implemented AI can equalize access to care, especially in small centers where specialists are scarce. The British NHS is testing systems that shorten waiting times for doctors by analyzing thousands of cases in real time.

The Shadow of the Algorithm: Who We Entrust Our Minds to

“A large part of memory today is in the cloud, beyond us.” — Grzegorz Osiński, *Digital Slaves*

This sentence speaks of something deeper, of giving up control over our thinking and decision-making. When a doctor uses AI to confirm a diagnosis, who is really making the decision?The doctor? Algorithm? Or maybe someone who created this algorithm and taught it data that we don't know?

AI can be helpful, but it can also be misleading. Language learning models (LLMs) can create erroneous but convincing answers—so-called "hallucinations." Systems trained on biased data reproduce injustices. This is the phenomenon of bias that can lead to incorrect diagnostic decisions (BMJ, Equity and AI in Health, 2024).

Law and ethics. Humanity's first line of defense

The European Union has adopted the AI ​​Act (2024), a law that classifies medical AI systems as "high risk." Each such system must have a risk management plan, data auditing, and a human in the loop to oversee the algorithm's decisions.

In parallel, the ISO/IEC 42001:2023 standard creates an AI management framework (AIMS) that allows hospitals to control the quality, ethics and safety of implementations.

Bioengineering: The Second Frontier of Progress

Bioengineering leads even further into the future. Research on artificial uteri demonstrates that technology intended to save premature babies could open up the prospect of carrying out an entire pregnancy outside the mother's body.

Is pregnancy merely a biological process? Or is it also an emotional and spiritual exchange that no machine can replicate (Lancet Bioethics, 2025)? Bioethicists warn that the line between “saving life” and “producing life” can quickly become blurred.

The doctor of the future is an algorithm auditor

Contrary to fears, artificial intelligence will not replace doctors, but it will transform their role. The doctor of the future should be an algorithm auditor, a care architect, and a guarantor of patient autonomy, ensuring transparency and the possibility of a second opinion.

Digital Judgment Day - a metaphor for the future

“Digital Judgment Day” is not an apocalypse from the movies, but a moment when people will pass the test of their own wisdom. Grzegorz Osiński wrote: "Big Tech is constructing elements of the global narrative. Unless we have already become digital slaves..."

The question is not whether technology will destroy us, but whether it will destroy our capacity for thought, empathy, and freedom. Because if we hand everything over to algorithms, from diagnoses to life decisions, then Digital Judgment Day will indeed come.

In conclusion

Can an algorithm save lives? Yes. Can it also take away humanity? Yes, too. It all depends on whether a person remains in the decision-making loop or surrenders it thoughtlessly to the systems they themselves have created.

Instead of fearing technology, let's learn to talk to it. Let artificial intelligence not be our judge, but a partner in the search for the truth about health, life, and ourselves.

Sources

  • WHO: Guidance on Generative AI in Health, 2024
  • FDA: AI-Enabled Medical Device List, 2025
  • UE: Artificial Intelligence Act, 2024
  • ISO/IEC 42001:2023 – Artificial Intelligence Management System
  • NEJM, AI in Medicine, 2024
  • BMJ, Equity and AI in Health, 2024
  • Lancet Bioethics, 2025
  • Grzegorz Osiński, Cyfrowi Niewolnicy, 2020
Share Post:

Related Posts

en_US