Beginnings of AI
Artificial intelligence first appeared around 1951 from humble beginnings at the University of Oxford. Traveling all the way from Britian, artificial intelligence made its way and debut to America as a checkers program in 1952. it developed from evolutionary computings to software development to genetic algorithms, and eventually programming.
AI Today
In the early 2000’s, one of the most famous programs was Microsoft Word. Word was developed in 1993 by Charles Simonyi and Richard Brodie, but eventually taken over by other developers. Pretty soon, Google emerged, and so is today.
Today, AI has expanded past just programs. It now has the potential to eliminate jobs in the future. Take a look at this video on your left. Even the godfather of AI has ceased his job at his corporation because of the growing threats and dangers of the intelligence. Artificial intelligence has become so advanced, it has become hard to tell what’s real and what’s not.
Influences
AI has influenced the world of finance, media, education, and even literature. In the finance world, AI is able to monitor transaction and customer behavior. In the media world, AI is helping large companies like Google fasten search accuracy through voice and image searches. In education and literature, AI has bettered the formation of curriculums and even circulated historical knowledge and detailed responses from past writings.
Impact
AI has even had greater impacts on things we use everyday: navigation, cybersecurity, data management, weather forecasting, smart farming, and even improved healthcare.
To your right, Smart Farming has allowed farmers to control livestock and monitoring from their fingertips.
Even in the healthcare field and data management field, AI has enhanced diagnostic processes and classifying, cataloging, and securing people's information.
Implications: What Does This Mean in the Future?
This new intelligence disrupts industries. The video on the right shows how AI eats an algorithms and generates outcomes. Speaker Janelle Shane, in a sense, reassures us that AI can’t necessarily kill us by doing something harmful to humans, but it definitely is capable of giving us something we don’t want. We give AI systems the goals we want achieved, but based on what we feed it, that is what truly dictates what it outputs. So, in other words, humans still have the control, we just have to be careful with the complexity of tasks we allow AI to test, and perfect.
