Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature

AK Kar, PS Varsha, S Rajan - Global Journal of Flexible Systems …, 2023 - Springer
The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

When combinations of humans and AI are useful: A systematic review and meta-analysis

M Vaccaro, A Almaatouq, T Malone - Nature Human Behaviour, 2024 - nature.com
Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers
have studied human–AI systems involving different tasks, systems and populations. Despite …

Foundational challenges in assuring alignment and safety of large language models

U Anwar, A Saparov, J Rando, D Paleka… - arxiv preprint arxiv …, 2024 - arxiv.org
This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

Art and the science of generative AI

Z Epstein, A Hertzmann… - Science, 2023 - science.org
The capabilities of a new class of tools, colloquially known as generative artificial
intelligence (AI), is a topic of much debate. One prominent application thus far is the …

Towards measuring the representation of subjective global opinions in language models

E Durmus, K Nyugen, TI Liao, N Schiefer… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) may not equitably represent diverse global perspectives on
societal issues. In this paper, we develop a quantitative framework to evaluate whose …

[HTML][HTML] More human than human: measuring ChatGPT political bias

F Motoki, V Pinho Neto, V Rodrigues - Public Choice, 2024 - Springer
We investigate the political bias of a large language model (LLM), ChatGPT, which has
become popular for retrieving factual information and generating content. Although ChatGPT …

Bridging the gap: A survey on integrating (human) feedback for natural language generation

P Fernandes, A Madaan, E Liu, A Farinhas… - Transactions of the …, 2023 - direct.mit.edu
Natural language generation has witnessed significant advancements due to the training of
large language models on vast internet-scale datasets. Despite these advancements, there …

The robots are here: Navigating the generative ai revolution in computing education

J Prather, P Denny, J Leinonen, BA Becker… - Proceedings of the …, 2023 - dl.acm.org
Recent advancements in artificial intelligence (AI) and specifically generative AI (GenAI) are
threatening to fundamentally reshape computing and society. Largely driven by large …

Generative artificial intelligence

L Banh, G Strobel - Electronic Markets, 2023 - Springer
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …

Evaluating human-language model interaction

M Lee, M Srivastava, A Hardy, J Thickstun… - arxiv preprint arxiv …, 2022 - arxiv.org
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …