Understanding and sha** the future of work with self-determination theory

M Gagné, SK Parker, MA Griffin, PD Dunlop… - Nature Reviews …, 2022 - nature.com
Self-determination theory has shaped our understanding of what optimizes worker
motivation by providing insights into how work context influences basic psychological needs …

The benefits, risks and bounds of personalizing the alignment of large language models to individuals

HR Kirk, B Vidgen, P Röttger, SA Hale - Nature Machine Intelligence, 2024 - nature.com
Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …

[HTML][HTML] Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda

L Mora, P Gerli, L Ardito, AM Petruzzelli - Technovation, 2023 - Elsevier
Smart city transitions are a fast-proliferating example of urban innovation processes, and
generating the insight required to support their unfolding should be a key priority for …

Language model tokenizers introduce unfairness between languages

A Petrov, E La Malfa, P Torr… - Advances in Neural …, 2024 - proceedings.neurips.cc
Recent language models have shown impressive multilingual performance, even when not
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …

Marketing in the metaverse era: toward an integrative channel approach

Z Ramadan - Virtual Reality, 2023 - Springer
The development pace of digital socialization has accelerated drastically in the past decade,
especially with the COVID-19 pandemic. Through that continuing digital shift, the idea of the …

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

HR Kirk, B Vidgen, P Röttger, SA Hale - arxiv preprint arxiv:2303.05453, 2023 - arxiv.org
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

Does digital global value chain participation reduce energy resilience? Evidence from 49 countries worldwide

Z Zhang, H Wu, Y Zhang, S Hu, Y Pan… - … Forecasting and Social …, 2024 - Elsevier
The digital global value chains (DGVCs) embody the two major characteristics of the current
era: globalization and digitalization. The DGVCs has a major impact on global economic …

Digital divide and household energy poverty in China

B Luan, H Zou, J Huang - Energy economics, 2023 - Elsevier
This study explores whether and how the digital divide affects household energy poverty in
China. Based on China Family Panel Studies data, the digital divide index at the household …

The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs)

M Kumar, RD Raut, SK Mangla, A Ferraris… - … Planning & Control, 2024 - Taylor & Francis
Artificial intelligence (AI) has been used in various industries to provide innovative and
intelligent features in micro, small and medium enterprises (MSMEs). Big industries started …

Deploying artificial intelligence in services to AID vulnerable consumers

E Hermann, GY Williams, S Puntoni - Journal of the Academy of Marketing …, 2024 - Springer
Despite offering substantial opportunities to tailor services to consumers' wants and needs,
artificial intelligence (AI) technologies often come with ethical and operational challenges …