Design, Applications and Impact

7. Design, Applications and Impact#

Syllabus Points Covered
Software automation
Algorithms in machine learning
  • Investigate how machine learning (ML) supports automation through the use of DevOps, robotic process automation (RPA) and business process automation (BPA)

  • Explore models of training ML

  • Investigate common applications of key ML algorithms

    • data analysis and forecasting

    • virtual personal assistants

    • image recognition

Significance and impact of ML and AI
  • Assess the impact of automation on the individual, society and the environment

    • safety of workers

    • people with disability

    • the nature and skills required for employment

    • production efficiency, waste and the environment

    • the economy and distribution of wealth

  • Explore by implementation how patterns in human behaviour influence ML and AI software development

    • psychological responses

    • patterns related to acute stress response

    • cultural protocols

    • belief systems

  • Investigate the effect of human and dataset source bias in the development of ML and AI solutions

Chapter Contents