What does A.I. ACTUALLY mean?
(we won’t judge you if you don’t really know).
Computers are really good at storing, organizing, fetching, and processing information. This has obvious applications for calculations, models, archives, records, etc. Artificial Intelligence takes computing a massive step further by having computer programs that are able to learn from data, make decisions, and even make predictions.
Artificial Intelligence and Machine Learning starts with training computers to understand and interpret data. Computers are usually given sets of data and then programmed with algorithms which tell them how to learn from data and then make predictions or decisions (An algorithm is a process or set of rules to be followed in calculations or other problem-solving operations).
While experts argue about what constitutes true, capital “A” capital “I” Artificial Intelligence, many refer to “weak” or “narrow” AI, which describes systems that can make sophisticated decisions about specific tasks or subjects, and (the dreaded by many, but still decades away) “strong” AI, which has the goal of general, human-level intelligence.
It sounds like a sci-fi notion, but narrow AI is real, and it’s in use today. Examples include everything from SPAM filters to Siri to Tesla’s self-driving cars, and many more listed throughout this module.
Now that you’re up to speed, the real question is: what are the opportunities within the field of education for AI to be a game changer – and which ones are worth investing in? Let’s look at how data-analyzing, decision-making computer systems can (and will) change the education landscape. Welcome to our Opportunity Forecast!
-Mike De Angelis, Paul Shuebrook, and Chris Spanis
08 March 2020