AI and Robotics are going to be cybersecurity nightmares. Due hardware and software architecture issues robots are being deployed that have not received the latest patches and will not receive the latest patches. At Brown we recently did the largest port scan of the internet for robots that has ever taken place. What we found is shocking.This will be the SCADA problem 2.0. How can you detect and control for a cyber threat that can not just turn on microphones or cameras, but physically move in a space, control the distribution of chemicals, and possibly cause millions of dollars of damage.
There are reasons we should not trust AI systems to perform complex tasks, and we should consider ways to put into place AI explainability to keep humans in the decision making loop. Even though AI could reduce the cognitive load on people for repetitive tasks it comes with the potential for biases based on data. People should keep a healthy skepticism of AI and companies should do their due diligence on systems before deployment. There is a lot of snake oil out there and a suave vendor could easily sell your company a garbage system that spells trouble and lawsuits down the road.
Western countries are entering a demographic shift where large numbers of people in traditionally blue collar jobs will be aging out of the workforce, truck drivers, slaughterhouse workers etc. Many of these jobs are complex tasks that will be difficult to fully automate. There will be room for robotic teleoperation of jobs to perform the work, but also room for higher tech jobs to manage these systems, that are more managerial level. Savvy workers can advance their careers to management with the right domain expertise. To prepare for this they need to start understanding how these systems will be deployed and what new skills they will need to master to be in line for those systems management jobs.
Humans are on the verge of being outpaced by AI systems. Recently massive changes in processing power have enabled old and previously unsuccessful techniques in AI to flourish resulting in robust systems like Deep Learning. This trend will continue as processing power increases and AI techniques that are stymied now will see realization as useful tools for planning and perception. The result of this will be an acceleration in the pace of production and pace of society.
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