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[Algorithms, machine intelligence, big data : general considerations].

F J Radermacher1

  • 1Universität Ulm / Forschungsinstitut für anwendungsorientierte Wissensverarbeitung/n (FAW/n), Lise-Meitner-Str. 9, 89081, Ulm, Deutschland. radermacher@faw-neu-ulm.de.

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Summary
This summary is machine-generated.

Rapid advancements in artificial intelligence (AI) and big data, driven by Moore's Law and the Internet of Things, present both risks and opportunities for civilization. Strategic global governance and eco-social market economies are crucial for harnessing benefits and mitigating potential dangers.

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Area of Science:

  • Computer Science
  • Technology Ethics
  • Societal Impact

Background:

  • Moore's Law predicts a thousand-fold increase in computational performance every 20 years.
  • The Internet of Things (IoT) and big data analytics are significantly enhancing machine efficiency.
  • Current AI capabilities, while not yet human-level, are rapidly improving.

Purpose of the Study:

  • To analyze the trajectory of technological development in AI and big data.
  • To explore the potential risks and benefits of unchecked technological advancement.
  • To propose frameworks for managing these developments for societal benefit.

Main Methods:

  • Observational analysis of technological trends (e.g., Moore's Law).
  • Assessment of the impact of big data and IoT on machine efficiency.
  • Conceptual exploration of governance and economic models.

Main Results:

  • Technological progress in AI and big data is accelerating.
  • Unmanaged advancement poses significant risks to civilization.
  • Effective global governance and eco-social market economies can lead to beneficial outcomes.
  • Potential for a future where the relentless drive for innovation may cease.

Conclusions:

  • The unchecked advancement of AI and big data presents profound challenges.
  • Implementing global governance and sustainable economic models is essential for a positive future.
  • Navigating these technological shifts requires careful consideration of societal and ethical implications.