Technology Risk
Engineers, scientists, and technologists remove risk from complex systems.
It’s our superpower.
Risk is called “systemic” when one risk impacts another risk resulting in a cascading network of failures.
This is compounded where the same technology created to decrease risk, can also be used to increase risk.
However, the technology itself is not to blame.
It is the people who have access to the technology who may introduce systemic risk.
Engineers, Scientists, and Technologists have both, an obligation and an opportunity, to safeguard the application of our mutual creations.
The Ingenesist Project uses game theory, blockchain, and artificial intelligence to convert intangible knowledge assets to this more tangible form.
As an engineer and entrepreneur looking to create an EITL (Engineer-in-the-Loop) application for AI systems in financial and insurance markets, here are some business ideas based for removing risk from complex economic systems, inspired by this video above on technology risk:
AI-Augmented Risk Assessment Platform
Develop an AI-powered platform with EITL to assess and mitigate systemic risks in financial markets. This system would:
- Analyze market trends, economic indicators, and interconnected risks
- Employ engineers to oversee AI decision-making and provide expert insights
- Offer real-time risk assessments to financial institutions and regulators
Insurance Verification System
Create a decentralized insurance verification system using blockchain and AI, with EITL safeguards:
- Implement smart contracts for automated policy verification and claims processing
- Use AI to detect fraudulent claims and assess risk factors
- Incorporate engineers to review complex cases and improve system accuracy
Systemic Risk Modeling Tool for Regulators
Design a comprehensive modeling tool to help regulators identify and address systemic risks:
- Simulate various economic scenarios and their potential impacts
- Use EITL to ensure accurate interpretation of results
- Provide a collaborative platform for regulators, economists, and engineers
AI-Driven Investment Risk Management System
Develop an AI-powered investment risk management system with EITL for institutional investors:
- Analyze market data, economic indicators, and company-specific information
- Employ engineers to oversee risk assessments and provide expert insights
- Offer personalized risk management strategies
Cybersecurity Risk Assessment Platform for Financial Institutions
Create a specialized cybersecurity risk assessment platform with AI and EITL:
- Continuously monitor and analyze potential cyber threats
- Employ cybersecurity engineers to validate AI findings and develop mitigation strategies
- Provide real-time threat intelligence and customized security recommendations
These startup ideas leverage EITL to address systemic risks in complex financial systems while maintaining crucial human expertise in the decision-making process.