학술논문

Colonization by Algorithms in the Fourth Industrial Revolution
Document Type
Periodical
Source
IEEE Access Access, IEEE. 10:11057-11064 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Ethics
Online services
Internet
Encyclopedias
Artificial intelligence
Social networking (online)
Machine learning
digital algorithms
COVID-19
digital colonialization
ethically aligned design
invisible data
Language
ISSN
2169-3536
Abstract
Data gathering and information processing have evolved to where it is almost unfathomable how much exists in digital form today. The generation thereof also no longer involves an explicit instruction from human to machine but can happen in real-time without human intervention. Artificial intelligence, machine learning, and cognitive computing are being utilized to mine data from a variety of sources. One such (profitable) source is human beings. Digital algorithms are designed to harness the power of technology to gather information. There has always been a sense of secrecy regarding some information (classified, top secret, confidential, etc.) but the Fourth Industrial Revolution has created the means to gather extremely large amounts of data, unknown to its sources. Anthropological value systems should become a fundamental foundation of digital algorithms. Such an approach could prevent software from exploiting its sources, especially minorities. Value systems together with ethics are guided by people’s culture. In ethically aligned algorithm design, value systems and digital technologies intersect and govern how algorithms are developed, the way data is engaged, and further the discipline of digital humanities.