Human resources are essential to an organization's performance, competitiveness, and
sustainability in any industrial revolution era. The Fourth Industrial Revolution (4IR) …

Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

The Principles of Data-Centric AI Page 1 THE ROLE OF data and its quality in supporting AI
systems is gaining prominence and giving rise to the concept of data-centric AI (DCAI), which …

Diversity in datasets is a key component to building responsible AI/ML. Despite this
recognition, we know little about the diversity among the annotators involved in data …

Recently, the AI/ML research community has indicated an urgent need to establish
Responsible AI (RAI) values and practices as part of the AI/ML lifecycle. Several …

This paper examines a kind of explainable AI, centered around what we term pro-hoc
explanations, that is a form of support that consists of offering alternative explanations (one …

Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet
innovation teams struggle when envisioning AI concepts. Data science teams think of …

The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …

Context In healthcare, digitization has been widespread and profound, entailing a deluge of
data. This has spurred ambitions for healthcare to become data-driven to improve efficiency …