The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

In this article, we develop the concept of Transparency by Design that serves as practical
guidance in helping promote the beneficial functions of transparency while mitigating its …

The affordances of artificial intelligence (AI) have not been totally utilized in education. To
effectively integrate AI into education, teachers' AI-specific technological and pedagogical …

Algorithmic audits (or 'AI audits') are an increasingly popular mechanism for algorithmic
accountability; however, they remain poorly defined. Without a clear understanding of audit …

The rapid development of machine-learning algorithms, which underpin contemporary
artificial intelligence systems, has created new opportunities for the automation of work …

Understanding how algorithms shape users' online experiences is a prerequisite to
developing an effective algorithm design. Due to the rapid algorithmification of platforms, it is …

With the growing presence of algorithms and their far-reaching effects, artificial intelligence
(AI) will be mainstream trends any time soon. Despite this surging popularity, little is known …

Although algorithmic auditing has emerged as a key strategy to expose systematic biases
embedded in software platforms, we struggle to understand the real-world impact of these …

Bias, unfairness and lack of transparency and accountability in Artificial Intelligence (AI)
systems, and the potential for the misuse of predictive models for decision-making have …

In this paper, we propose data statements as a design solution and professional practice for
natural language processing technologists, in both research and development. Through the …