Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective
Artificial intelligence (AI) is (re) sha** communication and contributes to (commercial and
informational) need satisfaction by means of mass personalization. However, the substantial …
informational) need satisfaction by means of mass personalization. However, the substantial …
On the current state of combining human and artificial intelligence for strategic organizational decision making
Strategic organizational decision making in today's complex world is a dynamic process
characterized by uncertainty. Therefore, diverse groups of responsible employees deal with …
characterized by uncertainty. Therefore, diverse groups of responsible employees deal with …
Rewarded soups: towards pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
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 …
on labeled data. Reinforcement learning, notably from human feedback (RLHF), can further …
Bridging the gap: A survey on integrating (human) feedback for natural language generation
Natural language generation has witnessed significant advancements due to the training of
large language models on vast internet-scale datasets. Despite these advancements, there …
large language models on vast internet-scale datasets. Despite these advancements, there …
A practical guide to multi-objective reinforcement learning and planning
Real-world sequential decision-making tasks are generally complex, requiring trade-offs
between multiple, often conflicting, objectives. Despite this, the majority of research in …
between multiple, often conflicting, objectives. Despite this, the majority of research in …
Leveraging artificial intelligence in marketing for social good—An ethical perspective
Artificial intelligence (AI) is (re) sha** strategy, activities, interactions, and relationships in
business and specifically in marketing. The drawback of the substantial opportunities AI …
business and specifically in marketing. The drawback of the substantial opportunities AI …
Ethical issues in the development of artificial intelligence: recognizing the risks
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 …
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
Personalized soups: Personalized large language model alignment via post-hoc parameter merging
While Reinforcement Learning from Human Feedback (RLHF) aligns Large Language
Models (LLMs) with general, aggregate human preferences, it is suboptimal for learning …
Models (LLMs) with general, aggregate human preferences, it is suboptimal for learning …
Levels of explainable artificial intelligence for human-aligned conversational explanations
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 …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
[HTML][HTML] Sustainable AI: An integrated model to guide public sector decision-making
Ethics, explainability, responsibility, and accountability are important concepts for
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …