Financial Decision Making in the Age of Artificial Intelligence
A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Technology and Innovation".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 1403
Editors
Interests: artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: mutual funds; application of AI in financial decisions
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of JRFM explores the transformative impact of Artificial Intelligence (AI) on financial decision-making. AI, defined as machines capable of performing tasks typically requiring human intelligence, such as problem-solving, language understanding, and decision-making, has quickly become a cornerstone of the financial services industry. From enhancing customer service with AI-driven chatbots and virtual assistants, to automating routine tasks like portfolio analysis and risk assessment, AI is reshaping how financial institutions operate and serve their clients.
As the digital age accelerates, financial professionals are turning to AI to leverage vast amounts of data, improving efficiency and delivering more personalized advice. Financial advisors, particularly those serving older clients, now use AI to offer more tailored retirement planning, healthcare decisions, and fraud detection, while ensuring that human judgment remains at the core of complex decision-making.
AI is also influencing the relationship between advisors and clients. While AI will not replace human advisors, it enables them to provide deeper insights and more accurate predictions. AI empowers financial advisors to focus on client relationships, guiding clients through critical financial decisions like retirement or home purchases, while automating time-consuming tasks behind the scenes.
The Special Issue also examines the future of robo-advisors, which use AI to provide cost-effective, personalized financial advice. However, the role of human advisors remains crucial, especially for those navigating significant life changes. As AI continues to evolve, its ability to analyze massive datasets in real-time offers unprecedented opportunities for financial services, but the balance between AI efficiency and human empathy will be key to future success in financial decision-making.
In summary, this Special Issue underscores AI’s growing influence in financial services, emphasizing its potential to improve decision-making, enhance operational efficiency, and ultimately drive more personalized, accessible financial advice.
Dr. Rashmi Malhotra
Prof. Dr. Davinder K. Malhotra
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence (AI)
- financial decision-making
- digital transformation robo-advisors
- big data
- machine learning, financial services industry
- data analytics
- customer personalization
- risk management
- financial advisors
- AI in finance, automation in finance
- financial technology (FinTech)
- AI-driven insights
- client relationship management
- financial planning
- retirement planning
- fraud detection
- AI transparency
- operational efficiency
- virtual assistants in finance
- personalized financial advice
- wealth management
- financial innovation
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