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Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications
Detecting anomalies has become an increasingly critical function in the financial service industry.
Systematic AI Approach for AGI: Addressing Alignment, Energy, and AGI Grand Challenges
We posit that system design is the missing piece in overcoming the grand challenges. We present a Systematic AI Approach for AGI that utilizes system design principles for AGI, while providing ways to overcome the energy wall and the alignment challenges.
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
Artificial intelligence (AI) continues to find more numerous and more critical applications in the financial services industry, giving rise to fair and ethical AI as an industry-wide objective.
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
We review practical challenges in building and deploying ethical AI at the scale of contemporary industrial and societal uses.
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications
Over the last decade, artificial intelligence has found many applications areas in the society.
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Machine learning models have widely been used in fraud detection systems.
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services
As a part of the outlook, we present a system-level framework towards increased self-regulation for robustness and compliance.
