Aktivitet: Tale eller præsentation - typer › Foredrag og mundtlige bidrag
The rapid development of machine learning brings evidence-based decision-making into more and more areas of human life. This has raised important debates about bias and fairness in the use of algorithms, and about how to develop machine learning responsibly. This talk compares current debates on machine learning to how decision-making under uncertainty has been debated in other areas of science, and it provides a framework for discussing when machine learning can be empowering, and to whom.