Skip to main content

Machine Intelligence in the Year 2030

  • Chapter
  • First Online:
Life Engineering
  • 467 Accesses

Abstract

Machine intelligence is already assisting humans in all areas of life with today’s technologies. Digital services expand the intellectual capabilities of humans, either by relieving people of routine tasks such as the administration of a bank account, performing traditional services like management of an appointments calendar or navigation, or by organizing photo and video archives including descriptions of the images. Machine intelligence amplifies human intelligence. The enormous potential for technological development up to the year 2030 lies in the convergence of a number of developments: Gigantic personal and factual databases that are automatically filled with detailed and up-to-date information from digital services and above all from sensors, the capabilities for machine learning, the necessary IT performance, intuitive man-machine collaboration, and the increasing execution of decision-making and actions by machines will transform our lives by 2030 to a far greater extent than imaginable today. A generalized artificial intelligence, the long-term goal of AI research, will, however, by no means have been achieved in 2030.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 19.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 24.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The assumptions on which these predictions are based include the following:

    • Humans have largely forgone privacy for the sake of convenience in their day-to-day lives, and legislation nonetheless adequately prevents the misuse of personal data.

    • Policy-makers have agreed a code of conduct with the oligopoly of the megaportals, which continues to permit technological and economic development, and adequately protects citizens from one-sided market power.

  2. 2.

    Knote et al. relate activity to the consumer. As a logical consequence, they use the terms active and passive the other way around, i.e. a digital service that switches on the light when it gets dark without human intervention is described as passive.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hubert Osterle .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Osterle, H. (2020). Machine Intelligence in the Year 2030. In: Life Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31482-8_3

Download citation

Publish with us

Policies and ethics