Life engineering

from Wikipedia, the free encyclopedia
First approach of the life quality model

Life Engineering (LE) aims to use the potential of information technology to improve people's quality of life. LE observes the development of information technology and its applications from the consumer's point of view and collects knowledge about people's quality of life. From this, LE formulates requirements for socio-technical solutions and evaluates digital services based on these requirements. It combines empirical knowledge, methods, concepts and models from the disciplines of computer science, economics and social sciences, political science, psychology, neurosciences, ethics, philosophy and religion.

Life engineering work areas

The focus of the LE is people's quality of life. LE is a design-oriented science with the aim of using existing and future technology, especially information technology, to improve the quality of life.

Data collection

The most important basis for understanding quality of life is the collections of personal and factual data on the Internet. These include the databases of megaportals such as Google and Facebook or Tencent and Alibaba, but u. a. also the medical data of doctors, hospitals and insurance companies, the financial data of banks and payment service providers and the data collections of government agencies.

Pattern recognition

The megaportals develop models of human behavior in which they primarily model consumer behavior. LE wants to derive behavioral patterns with their effect on short-term happiness or unhappiness (hedonia) and on long-term well-being (eudaimonia) from the data collections.

life quality

Every perception of a person affects his needs and thus generates positive or negative feelings, which together make up the quality of life. Perceptions arise from signals from the human senses (including physiological states), but also from thoughts. Praise, insult, burn, intoxication, orgasm, cold, and receipt of payment are examples of perceptions. The derivation of perception patterns and their effect on needs are the subject of psychological or neuroscientific studies and are still at a very rudimentary stage today, but digital data collections, biometrics and machine learning methods promise rapid progress.

Information technology

LE captures the functionality of millions of digital services and evaluates their potential for people.

Instructions for use

One of the design subjects of the LE is the behavioral instructions for dealing with information technology by individuals, for example for selecting digital services, for releasing personal data or for building up knowledge in dealing with the services.

LE should provide the basis for ethics and consumer protection. For example, LE can transfer ideas from Chinese corporate social scoring to efforts to achieve corporate social responsibility or formulate standardized general terms and conditions.

The complexity of technology, economy and society has reached a level that calls into question the possibility of a say for every individual and thus the basis of democracy. The impoverishment of individual sections of the population, the almost exclusive measurement of progress in capital and consumption, the destruction of the environment and the success of populist simplifiers are symptoms of a development that is triggered or at least accelerated by technological development. LE tries to use the data collections, the knowledge about the quality of life and the technology to further develop the economic and social model for a world with ubiquitous machine intelligence.

literature

  • Lis, J. (2014). Benefit Or Luck: Possibilities and Limits of a Deontological-Theoretical Foundation of the Economics of Happiness. Stuttgart: Lucius & Lucius.
  • Tegmark, M. (2018). Life 3.0. Being human in the age of artificial intelligence. New York: Knopf.
  • Damasio, AR (2018). The strange order of things: Life, feeling, and the making of cultures. New York: Pantheon Books.
  • Mau, Steffen, (1968). The metric we - on the quantification of the social. Original edition. Berlin, ISBN 978-3-518-07292-9
  • Schmidt, E., & Cohen, J. (2013). The new digital age. Reshaping the future of people, nations and business. London: Alfred A. Knopf.
  • Kotler, Steven, (2012). Abundance: The Future Is Better Than You Think. 1st Free Press hardcover ed. Free Press, New York.
  • Lupton, Deborah, (2016). The Quantified Self, Cambridge, UK
  • Swan, M. (2013). The quantified self: Fundamental disruption in big data science and biological discovery.

Web links

Individual evidence

  1. ↑ a b Hubert Österle: Life Engineering: Better quality of life thanks to machine intelligence? Springer Fachmedien Wiesbaden, Wiesbaden 2020, ISBN 978-3-658-28334-6 , doi : 10.1007 / 978-3-658-28335-3 .
  2. ↑ Kyarash Shahriari, Mana Shahriari: IEEE standard review - Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems . In: 2017 IEEE Canada International Humanitarian Technology Conference (IHTC) . IEEE, 2017, ISBN 978-1-5090-6264-5 , doi : 10.1109 / ihtc.2017.8058187 .
  3. ↑ Hubert Osterle: engineering Life . In: Electronic Markets . tape 30 , no. 1 , March 2020, ISSN  1019-6781 , p. 49-52 , doi : 10.1007 / s12525-019-00388-1 .
  4. ↑ Steven Reiss: Multifaceted Nature of Intrinsic Motivation: The Theory of 16 Basic Desires . In: Review of General Psychology . tape 8 , no. 3 , September 2004, ISSN  1089-2680 , p. 179-193 , doi : 10.1037 / 1089-2680.8.3.179 .
  5. ^ Organization for Economic Co-operation and Development .: How's life in the digital age? : opportunities and risks of the digital transformation for people's well-being. Paris, ISBN 978-92-64-31180-0 .
  6. ↑ Daithí Mac Síthigh, Mathias Siems: The Chinese social credit system: a model for other countries? 2019 ( Online [accessed April 30, 2020]).
  7. ^ Capitalism without Capital . 2017, ISBN 978-0-691-17503-4 .