Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …

Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …

The potential impacts of machine learning and artificial intelligence (AI) on society are
receiving increased attention owing to the rapid growth of these technologies during the …

Digitalization is globally transforming the world with profound implications. It has enormous
potential to foster progress toward sustainability. However, in its current form, digitalization …

Deepening and digging into the social side of AI is a novel but emerging requirement within
the AI community. Future research should invest in an “AI for people”, going beyond the …

Despite frequent claims that increased use of artificial intelligence (AI) in hiring will reduce
the human bias that has long plagued recruitment and selection, AI may equally replicate …

Artificial intelligence (AI) and algorithmic systems have been criticized for perpetuating bias,
unjust discrimination, and contributing to inequality. Artificial intelligence researchers have …

Computational algorithms and automated decision making systems that include them offer
potential to improve public policy and organizations. But computational algorithms based on …

This study analyzes large language models (LLMs) as a methodology for computational
sociology, focusing on applications to supervised text classification. We consider how the …

Artificial intelligence (AI) and big data methodologies have provided a vast possibility of
applications in different public policy sectors. AI and big data provide essential innovations …