Artificial intelligence (AI) is (re) shaping communication and contributes to (commercial and
informational) need satisfaction by means of mass personalization. However, the substantial …

Strategic organizational decision making in today's complex world is a dynamic process
characterized by uncertainty. Therefore, diverse groups of responsible employees deal with …

Foundation models are first pre-trained on vast unsupervised datasets and then fine-tuned
on labeled data. Reinforcement learning, notably from human feedback (RLHF), can further …

Natural language generation has witnessed significant advancements due to the training of
large language models on vast internet-scale datasets. Despite these advancements, there …

Real-world sequential decision-making tasks are generally complex, requiring trade-offs
between multiple, often conflicting, objectives. Despite this, the majority of research in …

Artificial intelligence (AI) is (re) shaping strategy, activities, interactions, and relationships in
business and specifically in marketing. The drawback of the substantial opportunities AI …

Ethical issues in the development of artificial intelligence: recognizing the risks | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

While Reinforcement Learning from Human Feedback (RLHF) aligns Large Language
Models (LLMs) with general, aggregate human preferences, it is suboptimal for learning …

Ethics, explainability, responsibility, and accountability are important concepts for
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …