Shape the Next Generation of AI: Human-in-the-Loop Learning
AI is rapidly reshaping the financial landscape, but the key to its success lies in human expertise. CeFPro, in collaboration with University College London (UCL), The University of Buckingham, and Princeton University, is launching a pioneering research study—giving finance professionals like you the opportunity to directly train an advanced AI model built for real-world financial decision-making.
What’s our objective? Integrate human judgment into a large language model that aids financial institutions in making precise risk responses. By observing how risk perceptions evolve when reading news text, we can train the model to see overreactions or underreactions to risk, in real time.
Why Get Involved?
Participating in this research means you’ll be at the forefront of AI innovation while gaining firsthand experience in training AI models.
- Influence the future of AI in finance – Your insights will help shape a model designed specifically for financial decision-making.
- Tackle industry challenges – Assist in addressing key issues such as regulatory compliance, efficiency, and AI explainability—major concerns for regulators and industry leaders alike.
- Learn from world-class experts – Collaborate with leading economists, psychologists, neuro-linguists, and AI scientists.
- Advance your career – Position yourself as a leader in AI-driven finance and gain exclusive knowledge of next-gen AI applications.
How It Works
Your participation requires minimal time but delivers maximum impact:
- Time Commitment: Just 1 hour in total, either all in one, or spread over two weeks (about 5 minutes per day).
- What is the task? Rank a series of financial phrases on a scale of -5 to +5
- Privacy: 100% anonymous. Your identity will not be disclosed to researchers or third parties.
- Cost: Completely free – your expertise is the most valuable contribution.
Why this research matters?
AI is only as strong as the data and human expertise that shape it. By joining this initiative, you’ll contribute to a breakthrough in financial AI, ensuring that future models are not only accurate but also contextually intelligent and regulatory-ready. Plus, your involvement could open doors to future AI collaborations and career growth opportunities.
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