Digitalisation Flashcards
Machine learning def
utilizing large datasets to identify interaction patterns among variables
- Can for example help in prediction of infectious disease distribution patterns
- Genetics can be used to study connections between genes, human traits and diseases
- Ultimate goal in Machine Learning: Development of algorithms that are capable of self-improving with experience and continuously learning from new data and insights
supervised method machine learning
classification and regression (e.g., outcome prediction in infectious diseases, detection of arrhythmia in electrocardiogram)
unsupervised method machine learning
identifies hidden patterns in the data, data exploration and novel hypotheses generation
technical challenges machine learning
- Volume: the scale of data inputs and outputs
- Variety: there are many different formats of data
- Velocity: speed of streaming data
ethical challenges machine learning
- Data privacy
- Solution can be found in de-identification of data
- Morality of algorithms
-Trust: accepting recommendations provided by systems
WEIRD samples
data comes from the wealthy countries –> missing data of other populations
White, Educated, Industrialized, Rich, Democratic
autonomy paradox
using mobile devices allows you to work anywhere/anytime (increased autonomy) but can also give the feeling that you are forced to work everywhere/ all the time (reduced autonomy)
technostress model
new technologies can impact work with five techno-stressors:
- Techno-Overload
- Techno-Invasion
- Techno-Complexity
- Techno-Insecurity
- Techno-Uncertainty:
Increases strain or stress, negative emotions, burnout and exhaustion and decreases self-related health, job satisfaction and productivity/performance
techno-overload
Technology forces workers to work more and faster
techno-invasion
Invasion of private life due to technology that creates pressures of constant connectivity
techno-complexity
Technology is complex, leading to a sense of lack with regard to computer skills
techno-insecurity
workers feel threatened about losing their jobs because of new technologies
techno-uncertainty
Constant technological changes that may create stress for workers