Using Large Language Models for Financial Advice DOI
Christian Fieberg, Lars Hornuf,

Maximilian Meiler

et al.

Published: Jan. 1, 2025

Language: Английский

Generative AI: Riding the new general purpose technology storm DOI Creative Commons

Dušan Vujović

Ekonomika preduzeca, Journal Year: 2024, Volume and Issue: 72(1-2), P. 125 - 136

Published: Jan. 1, 2024

Generative AI promises to revolutionize many industries (entertainment, marketing, healthcare, finance, and research) by empowering machines create new data content inspired existing data. It experienced exponential growth in recent years. In 2023 breakout year Gen impact reached 2.6-4.4 trillion USD (2.5-4.2% of global GDP). The development modern LLM-based models has been facilitated improvements computing power, availability, algorithms. These have diverse applications text, visual, audio, code generation across various domains. Leading companies are rapidly deploying for strategic decision-making at corporate executive levels. While AI-related risks identified, mitigation measures still early stages. Leaders adoption anticipate workforce changes re-skilling needs. is primarily used text functions, big analysis, customer services, with the strongest knowledge-based sectors. High-performing prioritize revenue over cost reduction, expand use business link value organizational performance structure. There a notable lack attention addressing broader societal on labor force. creates job opportunities improves productivity key areas. Future investment expected rise. Concerns about potential singularity, where surpass human intelligence, subject debate. Some view singularity as risk, others more optimistic based control constraints. experts predict that coming decade can be most prosperous history if we manage harness benefits its downside.

Language: Английский

Citations

4

Broadening the Gains from Generative AI DOI Open Access

Fernanda Brollo

IMF staff discussion note, Journal Year: 2024, Volume and Issue: 2024(002), P. 1 - 1

Published: June 1, 2024

Generative artificial intelligence (gen AI) holds immense potential to boost productivity growth and advance public service delivery, but it also raises profound concerns about massive labor disruptions rising inequality. This note discusses how fiscal policies can be employed steer the technology its deployment in ways that serve humanity best while cushioning negative market distributional effects broaden gains. Given vast uncertainty nature, impact, speed of developments gen AI, governments should take an agile approach prepares them for both business as usual highly disruptive scenarios.

Language: Английский

Citations

4

No Matter Your Financial Literacy: Simplicity Wins When Choosing a Fund DOI

Z. F. Gong,

Sebastian Müller

Published: Jan. 1, 2025

This study assesses the impact of GPT-4-generated fund prospectus summaries on investor comprehension and decision-making through an online experiment. A total 305 participants were given designed with varying levels complexity, labeled as "easy" "hard." The findings reveal that easy-to-understand significantly enhance text accessibility by approximately 13% investment willingness 8%. improvement is observed regardless participants' self-reported or objectively measured financial literacy. also finds individuals' selfassessed competence plays a more crucial role than their actual literacy in interacting information making decisions. These results highlight capability advanced language models like ChatGPT to simplify condense complex disclosures, thereby potentially broadening participation enhancing engagement.

Language: Английский

Citations

0

Assessing political bias and value misalignment in generative artificial intelligence DOI Creative Commons
Fábio Motoki,

Valdemar Pinho Neto,

Victor Rangel

et al.

Journal of Economic Behavior & Organization, Journal Year: 2025, Volume and Issue: unknown, P. 106904 - 106904

Published: Feb. 1, 2025

Citations

0

Using Large Language Models for Financial Advice DOI
Christian Fieberg, Lars Hornuf,

Maximilian Meiler

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0