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There are a lot of AI terms out there, and as digital marketers, it’s just as well that we be familiar with them. AI is going to be a big part of what the future of digital marketing looks like, so the sooner marketers get on board and understand AI technologies, the better chance they’ll have of outperforming competitors who are lagging behind. This is the third post in our AI glossary series. Find the other two here and here.
The use of computerized models to simulate the human thought process in complex situations where the answers might be ambiguous or uncertain.
The analysis of data to gather important insights that then improve operational efficiency
Techniques that analyze large amounts of information to spot trends or patterns that help to answer relevant questions or improve processes
The idea that parties must have sovereignty over their own digital data. The bottom line is that digital sovereignty involves consideration of how data and digital assets are treated. This is a big consideration in the world of privacy.
Rather than keeping AI expertise in isolation, distributed collaboration brings people from multiple disciplines such as ethicists, engineers, and software and product designers to integrate knowledge in solving problems.
Social credit systems
Because people take so many actions online, technology can track people’s behavior and rate them based on their online actions. This has implications for organizations looking for creditworthiness, schools looking at enrollment or businesses looking at job positions. This poses an ethical problem because there’s no transparency around the fact that this is happening. Most people are simply unaware of how they may be being penalized.
The process of teaching a model by feeding it input data as well as correct output data. Think of a teacher that knows the correct answer to a question and will either add or subtract take points from a student based on the correctness of their response to a question.
The backlash against emerging technologies. Many people have concerns about technological innovation and its misuse as well as issues related to privacy, mass surveillance or how online behavior is tracked, to name just a few.
This of this as how a child might learn language by independently finding structure from the given input rather than having a relationship with the teacher. It’s a way to find patterns in data if you don’t know exactly what you are looking for.
The use of headsets with projection visors to put people into situations that seem real but are completely computer generated. Its benefit can be seen in its ability to train people to respond to certain situations.
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