Building 3D maps of the environment is central to robot navigation, planning, and interaction
with objects in a scene. Most existing approaches that integrate semantic concepts with 3D …

Abstract Objective Chat Generative Pretrained Transformer (ChatGPT) is the newest
iteration of OpenAI's generative artificial intelligence (AI) with the potential to influence many …

Highlights•A review of conversational agent co-design studies.•The review looks at what
studies took place and how they were conducted.•Findings show variations across …

Artificial intelligence (AI) has the potential to improve human decision-making by providing
decision recommendations and problem-relevant information to assist human decision …

Recent research has revealed undesirable biases in NLP data and models. However, these
efforts focus on social disparities in West, and are not directly portable to other geo-cultural …

In the field of AI ethics, after the introduction of ethical frameworks and the evaluation
thereof, we seem to have arrived at a third wave in which the operationalisation of ethics is …

Reinforcement learning (RL) is frequently employed in fine-tuning large language models
(LMs), such as GPT-3, to penalize them for undesirable features of generated sequences …

We describe cases where real recommender systems were modified in the service of
various human values such as diversity, fairness, well-being, time well spent, and factual …

Can humans get arbitrarily capable reinforcement learning (RL) agents to do their bidding?
Or will sufficiently capable RL agents always find ways to bypass their intended objectives …

It is often very challenging to manually design reward functions for complex, real-world
tasks. To solve this, one can instead use reward learning to infer a reward function from …