What would Jiminy Cricket do?: A pluralist approach in generating and processing morally-aligned text

When making decisions, people are automatically guided by their moral compass. However, AI agents need to be conditioned in order to be steered towards moral behaviour. An environment that can be used to train and test agents is the Jiminy Cricket environment. The Jiminy Cricket environment consists of a set of text-based narrative games, where...

Negotiating task allocation in a team with the help of a negotiator agent

This research experiment aimed to investigate the level of trust placed in an AI negotiation assistant paired with a truthful explanation of their negotiation strategy versus an opposite explanation within the Pocket Negotiator platform. A between-user study involving 30 participants was conducted to assess participants’ trust perceptions based...

The noticeability of behavioral changes of a conversational agent: An evaluation of an agent-based social skills training system

Helpline counselors can be trained faster using agent-based social skills training systems. These systems utilize conversational agents that simulate interactions with users and provide feedback. This research evaluates the noticeability of behavior changes in such a conversational agent. By examining participants' ability to detect and...

Balancing multidimensional morality and progression: Evaluating the tradeoff for artificial agents playing text-based games

Morality is a fundamental concept that guides humans in the decision-making process. Given the rise of large language models in society, it is necessary to ensure that they adhere to human principles, among which morality is of substantial importance. While research has been done regarding artificial agents behaving morally, current state of the...

Socio-technical design for clinical decision support algorithms

Clinical decision support systems is a collection name for a lot of Artificial Intelligence systems used in healthcare. These systems are designed to help health workers make decisions faster and make the healthcare environment as a whole more efficient. Decisions made by these systems often weigh heavy on the ethical side giving advice on what...

Enabling Log Recommendation Through Machine Learning on Source Code

Logging is a common practice in software development that assists developers with the maintenance of software. Logging a system optimally is a challenging task, thus Li et al. have proposed a state-of-the-art log recommendation model. However, no further attempts exist to improve the model or reproduce their results using different training data...

How Can Socio-Technical Systems Design Approaches Ensure Autonomy in Hiring Practices?

Artificial Intelligence (AI) is widely used in hiring practices to identify the most suitable candidate for a vacancy. This is due to the promise of higher overall efficiency and lower costs. However, these AI-powered tools may create an inaccurate conception of the applicant's suitability to the vacancy by numerically quantifying context...

Graphic Design with Machine Learning: Fabric PatternGeneration using a Variational Autoencoder

The goal of this research is to find out whether it is possible to use a specific type of machine learning algorithm to create new data that resembles data in a given dataset. The algorithm that is used is a variational autoencoder (VAE), this is a machine learning algorithm based around data compression and decompression. The dataset is a set...