David Moschella from Leading Edge Forum participates in Risk Roundup to discuss Machine Intelligence Impact on Human Society.
Machine Intelligence Impact on Human Society
When individuals and entities across nations: its government, industries, organizations, and academia are presented with a new innovation, new technology, or new way of doing things, a number of factors influence their decision-making process.
Now when we evaluate Artificial Intelligence (AI) from the perspective of whether this extraordinary innovation will be accepted by nations: its government, industries, organizations, and academia (NGIOA), it brings forth very complex challenges and independent and interdependent security risks that will likely be very difficult to manage for any NGIOA.
It is certain that the potential of AI realized will likely depend on how it is understood and received by NGIOA, its social and political impact, understanding of the benefits and risks, and willingness on part of NGIOA to accept the fundamental changes brought on by the AI. In short, the potential of AI will be heavily influenced by individual human choice and opinion.
Generally, an “individual”, a “human being”, a “common man” across nations is largely taken for granted when it comes to technology trends or acceptance. However, when it comes to AI, nations should not make any mistake of taking the “common man”, an “individual” component of a nation for granted.
While some studies are underway to understand the effects of artificial intelligence on society, including efforts to understand its effects on the economy, war, crime, jobs, and so on, we, the humans still have to understand how will we reshape human roles, responsibilities, purpose, and plan. Time is now to talk about Machine Intelligence’s impact on human society.
For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
David Moschella is the Research Director at Leading Edge Forum
About Risk Group
Risk Group is a leading strategic security risk research and reporting organization.
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Reference Episodes:
Machine Learning Based Market Forecasting
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Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
Science of Intelligence – Human Intelligence to Computational Intelligence
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Agricultural Robots
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools