Impact of Artificial Intelligence on Society: In an ongoing series, scientists, industry leaders, academics, and entrepreneurs answer fascinating questions about their areas of interest.
Artificial Intelligence Negative Impacts: A few weeks ago, we asked our Propel(x) experts to give us some insight into the impact of artificial intelligence on society and ways Artificial Intelligence (AI) could impact their industry. Here at Propel(x), we are big fans of advances in artificial intelligence and the promise the technology has made to automate and predict through pattern recognition and self-learning.
What Does AI Stand For?
Artificial Intelligence Timeline: AI is like that kid in Mercury Rising who can look at a page of jumbled nonsense and crack the government’s most sophisticated code ever. Codes and patterns come in all shapes and sizes — from Bach’s music to Coachella band names to diagnosing tuberculosis to self-driving cars.
Artificial Intelligence Negative Impacts: Many economists and experts are warning of mass unemployment as automation becomes more integrated with our lives. Even the UN opened a Centre of Artificial Intelligence and Robotics to monitor the situation.
As computers become increasingly capable of doing all sorts of human-like things, it’s no surprise that people across all sorts of industries are starting to wonder whether they’ll soon be replaced by artificial intelligence software. Frankly, they should wonder. We… all… should…
Looking ahead a few decades, however, futurists disagree over whether the loss of jobs will create a destabilized dystopia of unemployment or a new renaissance of instant-retirement and a Star Trekian ability for humans to pursue their passion projects.
We at Propel(x) think it’s the latter. To be sure, the rise of AI-powered automation in the artificial intelligence timeline will redefine the meaning of work over the next few decades but it will also bring forth a wave of innovations that humankind has yet to achieve for ourselves.
Below, we’ve gathered a collection of some of those innovations and advances in artificial intelligence, which we consider reason enough for a little AI optimism. Most of our respondents located their answers within Medtech, so if you need a primer on that be sure to read our Medtech overview for a little more information. Enjoy!
Artificial Intelligence for Parametric Design
MSME from University of Texas Professor of Advanced Manufacturing at Hagerstown Community College Impact of Artificial Intelligence on Society: “In products and processes, as well as engineering and manufacturing, I expect AI to become a feature and eventually a necessity. Products with AI will help users get the most utility from them without requiring the user to learn how the software works. Software with AI will reduce the training required of users. This will be very important in fields like CAD, CAM, and simulation. Processes with AI will also reduce the skill required of operators. The sensors that allowed hardware to be smart will be the key to making AI learn the processes it is required to execute.”
Artificial Intelligence for Supply Chains
MS in Systems Architecting from the University of Southern California Founder and CEO of Antarriksh, Inc. Impact of Artificial Intelligence on Society: “Deep Learning will significantly enhance the detection-to-decision-making lifecycle for industrial asset health management in automotive, energy, continuous process manufacturing, and transportation markets.”
PhD in Botany (Plant Pathology) from University of Toronto Research Director “It will be in all farm machinery and production systems.”
Artificial Intelligence for Sports Medicine
PhD in Chemical Engineering from Purdue University Principal Research Scientist at CERTH and CEO of ErgoSensePro Impact of Artificial Intelligence on Society: “Despite the significant efforts to develop first-principles approaches—specifically in the area of sports training and performance—there are broad gaps between disciplines where experimental trials and empirical rules are the available tools. AI and machine learning could become capable of bridging these gaps in the coming decade, e.g., between deep athlete evaluation and performance or training or rehabilitation.”
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