Year 2020
Technology is advancing by leaps and bounds. Digitization is still something many organizations are actively working to introduce. At the same time, there is this little world that takes digital processes to the next level through AI and automation.
NOW you can evaluate an AI on the same language tests as humans and get a better result than a majority of them. How will this affect how we work with languages? I think that almost every text process is affected by these new advances.
Cooperation
Although I believe that some classification models can be left without direct monitoring with only regular follow-ups. I strongly believe in using "AI" to maximize individuals' capacity. This is a revolution that, like industrialism, will increase productivity. If you could 3x or 4x the throughput of workers in these processes, you have gained a lot. In many cases, it is definitely already possible with what we have today. In the short term, it is more about collaboration than removing people from processes. It is more about producing the right data and understanding for the upcoming handover.
The tragic truth is that many of the organizations that has language processes that could be enhanced rarely have the possibility to utilize this new progress easily. The infrastructure is extremely inflexible and it is rarely the correct data that is saved from the processes.
Teacher
What does this mean for a teacher who scores texts daily? It is likely that AI already gets better results on reading comprehension than many teachers in this country. Is it fair to students to be judged by people who have difficulties with reading comprehension? If you also extend it to concentration and carelessness?
Is it fair to force these teachers to read and score? More time and energy could be spent focusing on the students. Make them feel noticed. More coaching. Why not let student interact with a model that provides direct feedback. To teach them how to work with deep-learning models at an early age and to foster critical thinking of results without anyone taking it personally and avoiding admitting mistakes.
If we take history as an example, how many teachers have not sat and evaluated texts about the fall of the Roman Empire or the Civil War according to a certain criteria. The data processes are there and on a national scale you could be very efficient. Even more so now that the models make it possible to switch between languages almost seamlessly.
Customer Support
Different telephone support lines are often just a human interface to different knowledge databases and special permissions that the customer does not have. How many support workers are a part of the group of people with top 70-85% in reading comprehension? In the cases that do exist, it is rare for them to even be able to use this as there are hardly any tools available for them to work with and search for information. It takes time and experience in a profession that is often seen as temporary.
There is a lot to be gained in efficiency by providing support articles to the customer through various models that act as interfaces with some smart engineering to create a feeling that someone is helping them. Get information and an interface for case management that can be processed further automatically where the customers themselves does not have permissions.
Administration
Various incoming texts in emails and forms that often consist of simple "actions" that must be performed or delegated to the right person, or some form of assessment according to set criteria must take place. With the right data and models, this is almost trivial to achieve.
Writing
Transformers is scary good at predicting the next token . This means that they are fantastic tools when it comes to writing. If you combine language comprehension and text generation, you get different types of translators. It can be between different languages. It can be between different styles of writing or models for writing summaries.
Journalist
A model that is tailored for you and how you want to write will help you by predicting the next word. It is trained on your favorite authors and yourself to better understand how you want to write. An autocorrect on steroids. I will show some demos on this soon. This is great if you are a writer or journalist, direct feedback and a sounding board in the style you want. You focus on the message and research.
Communications Officer
In an organization, there may be different nodes that convey information. Selects relevant pieces and boils it down to the goodies. Perhaps texts are generated based on tables or other data that can be more easily interpreted in a short format.
Copywriter
How do you reach an individual customer in the best way? Through personalized messages of course. With the right data, this is very feasible.
Advice
I see time and time again people who want to do "AI" but it is rarely any of the new break-through models that are implemented. There is a great shortage of skill in Sweden. "AI" is a hot topic that unfortunately attracts a lot of bullshit. It takes a lot of resources and real progress or unique models are very rarely made on a laptop. Consulting companies are looking to sell hours and not solve problems. The turbulence around the various advances means that everyone is behind and it is extremely time-consuming to keep up even if you have the right conditions.
