Many applications of decision-making involve a trade-off between multiple criteria or objectives. For example, decision-making algorithms in autonomous vehicles must make a trade-off between safety and journey time while algorithms for fraud detection have to make a trade-off between fairness and financial losses. The “best” decision in multi-objective decision-making applications should not only depend not only the preferences of the user and operational constrains, but also needs to be determined by ethical, legal, and societal aspects. In addition, uncertainty about the state of the decision-making environment should also be considered.

What does TNO offer on multi-objective decision-making?

On the one hand, TNO offers methods for elicitation of user preferences and operational constraints. On the other, TNO offers an analysis of ethical, legal, and societal aspects (ELSA). Combining these for decision-making, TNO offers multi-objective decision-making algorithms that take user preferences, operational constraints, ethical, legal, and societal aspects, and uncertainty into account.