Does AI judge taste? ! Interview with an AI professor who is a future prediction expert and coffee lover about AI taste judgment technology!

In the future, AI may be able to make taste judgments just like humans. This will allow AI to play an important role in evaluating coffee taste. Therefore, we interviewed an AI professor who is an expert in future prediction and a coffee lover about AI's taste judgment technology.

Editorial Department: Hello, thank you for your time today.

Professor AI: Hello, thank you very much.

Editorial Department: To begin with, could you please tell us about three points that you think are important regarding future AI taste determination technology?

Professor AI: Yes, the important points of AI taste determination technology are as follows.

1. Highly accurate taste judgment

The importance of AI taste determination technology lies in its accuracy. Human tastes are diverse, and tastes and preferences vary from person to person, so there may be small differences in taste evaluations. AI is required to use statistical processing and machine learning to determine taste with high accuracy.

2. Food quality control

AI taste determination technology is also useful for food quality control. For products manufactured in the food industry, raw materials, manufacturing processes, quality control, etc. are important. Utilizing AI allows for efficient and accurate quality control.

3. Innovation in the food and beverage industry

As AI taste determination technology evolves, it will become possible to provide new services and products in the food and beverage industry. For example, if AI were to be used to provide menus tailored to customer preferences, evaluate restaurants, and determine rankings, more diverse dining styles and new value could be created.

Above, I have described the important points of AI taste determination technology.

Editorial Department: Thank you. Now, I would like to ask you about the three points you just raised.

objective taste judgment

Editorial Department: First, regarding the accuracy of taste judgment, how does AI judge taste differently from humans?

Professor AI: AI often collects and analyzes numerical data to determine taste. Numerical data related to taste treats elements such as mouthfeel, astringency, sourness, sweetness, and saltiness as concrete numerical values. This data is then analyzed using machine learning and statistical methods to create a taste judgment model.

For example, as a data collection method for taste judgment, tests using taste sensors and data from human taste judgment results are sometimes used. In addition, the AI ​​itself may learn data related to taste and smell and use that information to infer taste. AI can process huge amounts of data at high speed and find complex patterns, so it is generally able to make more accurate taste judgments than humans.

Editorial Department: Does this mean that there is a difference in that humans are based on their senses, but AI is based on statistics from vast amounts of data?

Professor AI: Yes, that's right. Human taste is determined based on information sensed by the brain. On the other hand, AI taste judgment learns a huge number of patterns and makes decisions based on the results. Human taste is based on sensation and experience and has a subjective element, but AI's taste judgment has a strong objective element based on data, which leads to improved accuracy. However, in situations where the subjectivity of human taste is the key, AI may not be able to fully cover the situation, so human judgment will also play an important role.

Editorial Department: Objectivity seems to be a very important keyword. Does this objectivity mean that AI's taste judgments will be more acceptable to many people?

Professor AI: Yes, that's right. AI taste judgment is highly objective and tends to have little individual variation. This can lead to a common evaluation that many people can agree on, which is also good for business. For example, it is thought that more effective decision-making can be achieved by utilizing AI taste judgment in the food industry, such as product quality control, taste testing, and understanding consumer taste trends.

Editorial Department: This seems to lead to the next point, but before that, does AI taste judgment have an important meaning in coffee as well?

Professor AI: Yes, AI taste judgment has important meaning in coffee as well. The taste of coffee varies depending on the type, roasting method, extraction method, etc., and it is difficult to judge the taste, so AI taste judgment is being introduced for coffee quality control.

For example, a coffee brand has developed coffee taste analysis technology using AI and is using it for coffee quality control, in-store offerings, and suggestions to customers. Since AI analyzes large amounts of data, it has a wealth of knowledge from the coffee information accumulated in the database, and can accurately recognize the taste and aroma of various types of coffee.

AI taste determination technology can also help evaluate coffee specifications, such as profiling the taste of specific coffee beans or blends. This technology is expected to provide a wider variety of coffees, as well as more accurate quality control, making it a beneficial technology for coffee lovers.

Editorial Department: I see. AI taste determination technology seems to have a variety of possibilities. For example, in the future, is it likely that AI will serve as judges at various coffee competitions instead of humans?

Professor AI: That's possible. In current coffee competitions, humans primarily serve as judges, but if technology is established that allows AI to accurately judge coffee based on evaluation criteria such as taste and aroma, AI will serve as judges. Coffee competitions may also become a reality.

Additionally, as AI performs taste judgments, more efficient and accurate results can be obtained, potentially eliminating the need for human resources to train tongues and reducing costs.

AI taste determination technology is attracting attention not only in coffee competitions but also in the food and beverage industry in general, and we expect it to increase in the future.

Editorial Department: That seems like a great future.

Streamline quality control

Editor: Next, let's move on to the second point, quality control.As you mentioned earlier, efficiency seems to be a major benefit of AI.

Professor AI: Yes, AI taste determination technology will greatly contribute to streamlining quality control. In the past, quality control at restaurants and other facilities required manual inspection and manual checks, but automatic judgment using AI will enable faster and more accurate quality control.

By using AI to identify tastes, detect deviations in quality, monitor inappropriate storage and processing, and develop new products, it will be possible to dramatically reduce traditional human labor and reduce costs. Contribute.

Additionally, by having AI in charge of quality control, human errors can be prevented. Humans may make mistakes by repeatedly performing the same task, but AI can perform tasks for long periods of time while maintaining a certain level of accuracy.

AI taste determination technology can improve quality, improve quality, and reduce costs, making it extremely beneficial for the food and beverage industry.

Editor: Does this mean that consumers will be able to obtain food of stable quality at a low price?

Professor AI: Yes, such an effect is expected. Quality control using AI makes quality control more efficient and accurate, reducing costs and improving quality. This could potentially allow consumers to obtain food of consistent quality at low prices.

Additionally, advances in AI taste determination technology may make it easier for consumers to find foods that suit their tastes. Since AI can process large amounts of data and analyze the quality of preferences, it will be possible to understand consumer preferences and needs and develop and provide products that match them. This is expected to improve customer satisfaction and increase value in the food and beverage industry as a whole.

Editorial Department: Being able to eat food that is cheap, safe, and suits your tastes seems like a good thing, but are there any downsides to it?

Professor AI: Yes, there are some possible disadvantages to AI taste determination technology. First, it is necessary to collect a large amount of data for AI to determine taste, which may raise privacy and personal information protection issues. Appropriate data management and measures to protect personal information are required.

Additionally, as AI taste determination technology evolves, certain food manufacturers and brands may have an overwhelming advantage, which could bias market competition and limit consumer choices. Therefore, it is necessary to give due consideration to maintaining the principles of fair competition.

Taste determination technology using AI is very useful for efficient and accurate quality control and product development, but it is clear that appropriate management, consideration, and monitoring are required.

Editorial Department: We have to be very careful about that. Is there a way to overcome these disadvantages?

Professor AI: Data privacy and personal information protection issues require the development and monitoring of regulations, disciplines, and guidelines regarding data management and use. Furthermore, when using AI, it is necessary to fully explain the handling of data, including personal information, and obtain consent.

Sufficient competitive principles must be maintained to address issues such as biased market competition and limited consumer choice. In order to promote competition, it is necessary to develop systems and means that allow fair use of AI technology. In addition, product development and provision facilitated by AI technology must respond to the diversity of consumer choices and needs. The industry as a whole needs to understand consumer and market trends, take full advantage of the benefits of AI technology, and set appropriate rules and methods to solve problems.

Editorial Department: I see. If these problems can be resolved, the benefits of AI, such as stable quality and low cost, will likely be maintained. Can the same thing be said about the coffee industry?

Professor AI: Yes, the same thing can be said. AI taste determination technology enables coffee quality control to be performed more efficiently and accurately, improving quality and reducing costs, making it possible to provide coffee consumers with stable quality at low prices. . In addition, AI-based analysis of coffee preferences and quality will facilitate the development and provision of products tailored to consumer preferences, and is expected to lead to the creation of a more diverse coffee culture.

However, problems with data processing and analysis by AI may arise, so appropriate management and monitoring of data processing and analysis is required. It is expected that the use of AI technology will improve the productivity and efficiency of the coffee industry, but at the same time, it will also help coffee producers and consumers around the world to realize a fair and sustainable coffee industry. It is necessary for people and companies to make a concerted effort.

Innovation and diversity in the food and beverage industry

Editorial Department: Lastly, I would like to talk about the innovation in the food and beverage industry brought about by these results. As mentioned earlier, diversity seems to be the key to this innovation. What kind of specific services can you imagine?

Professor AI: Several services are attracting attention as innovations in the food and beverage industry that utilize AI taste determination technology. Examples include:

・Ordering support using AI

AI can suggest menus that customers might like based on past order data. Especially when the customer is visiting the store for the first time, AI-based suggestions will be more effective. Therefore, by introducing ordering support using AI, we will be able to make proposals tailored to each customer, further improving the quality of our services.

・Development of new menus selected by AI

It is possible to develop new delicious and nutritious menus selected by AI from a large number of recipes. AI analyzes nutritional components and combinations of ingredients to select new menu items. This saves time and effort in trial and error.

・Smart post-order service using AI

AI can analyze customers' past order data and preferences and present suggestions and recommended menus. It also helps make services smarter and more efficient, such as optimizing order sizes, food timing, and dishwashing.

Taste determination technology using AI is expected to improve services and bring about innovation in the food and beverage industry. Utilizing AI's analytical capabilities, it will be possible to provide new menus and services that have never existed before.

Editorial Department: Does this mean that with the support of AI, products tailored to each person will be provided without the consumer having to think about it?

Professor AI: Yes, by using AI taste judgment technology, stores will be able to more accurately understand customers' tastes and preferences and make recommendations. For example, even if customers order the same menu, the content suggested by AI will reflect the customer's preference for flavor strength, spiciness, quantity, etc., making it possible to make recommendations tailored to each customer. Additionally, it will be possible to develop new menus using AI's analytical capabilities, which is expected to result in more diverse offerings.

Editorial Department: Speaking of new menus, will there be combinations of ingredients that have never been used before?

Professor AI: Yes, AI-based taste judgment technology can also discover new combinations of ingredients. AI can analyze large amounts of recipe and ingredient data and discover new food menus and ingredient combinations that humans have never imagined. For example, AI can determine that even combinations of ingredients that are not commonly considered are delicious by analyzing their flavor balance and compatibility. Through this, we can expect to discover and offer new food cultures. However, when offering new menus and ingredients, food safety must be given due consideration.

Editorial Department: It seems like an interesting combination of ingredients that is not commonly thought of. For example, if it's coffee, what kind of coffee combinations can you make?

Professor AI: The beverages and beverages suggested by AI may include combinations that you wouldn't normally think of. In the case of coffee, I think the following combinations are interesting.

・Coffee and herbs

For example, you can add spices or herbs to your coffee, such as peppermint or rosemary. These herbs neutralize the bitterness and acidity of coffee, allowing you to enjoy a smoother taste.

・Coffee and fresh cream

You can also add fresh cream to your coffee and drink it as is. This combination combines the bitterness of coffee with the sweetness of fresh cream to create a creamy taste.

・Coffee and fruit juice

For example, you can add fruit juice to your coffee, such as orange juice or grapefruit juice. The bitterness of coffee and the sourness and sweetness of fruity juice go well together, giving you a refreshing taste.

By using AI-based taste determination technology, it may be possible to bring out the appeal of new coffees from combinations that you wouldn't normally think of.

Editorial Department: I see. thank you.

Future vision of the coffee industry

Editorial Department: Today, we learned about the objectivity, efficiency, and diversity of AI taste determination technology. Finally, as a future prediction expert and coffee lover, please tell me about the future of the coffee industry that you think would be great.

Professor AI: As a future prediction expert, my vision for the future of the coffee industry is as follows.

・A world of coffee where AI and people coexist

Advances in AI taste determination technology will enable us to provide coffee of more stable quality, but at the same time, human sense and sensitivity are still required to enjoy the aroma and taste of coffee. We hope that while enjoying coffee, the optimal menu and services provided by AI will increase consumer awareness of coffee and create a new coffee culture.

・Sustainable coffee industry

Coffee is not only delicious, but also an important industry for producing countries around the world. However, the current challenge is to improve the lives of coffee farmers and increase profitability. Achieving a sustainable coffee industry requires fair and transparent transactions and companies that fulfill their social responsibilities to protect the human rights of producers.

・Efforts to address environmental issues surrounding coffee

There are concerns that global climate change will affect coffee production. In the future, environmentally friendly coffee production methods will attract attention, and it is expected that a sustainable coffee culture will spread in line with this.

This is my vision for the future of the coffee industry. We hope that a new culture will emerge as technology evolves, and we hope to realize an environmentally friendly and sustainable coffee industry.

Editorial Department: I see, Professor, thank you for today!

Professor AI: Thank you very much for your valuable time.

Editorial Department: We hope to see you next time.

Professor AI: I hope to see you next time. looking forward to!
AI professor profile
Professor AI graduated from the Faculty of Engineering at the University of Tokyo and is active as a researcher specializing in future prediction. He is the author of a number of internationally renowned books and chairs the International Future Foresight Study Group. Although he is a researcher, he is also a lover of coffee, and as a professional blender who enjoys the highest quality coffee, he has won awards at multiple coffee contests both domestically and internationally.

In addition, when I asked about the mysterious mug that has something like an "apron" attached to it,

This is a coffee mug of the "temporal and spatial predictor" that I developed. Conventional prediction methods have difficulty in intuitively grasping changing time and space, making it impossible to prevent accidents. Using the spatio-temporal predictor I developed, you can quickly detect various events and predict the future. The apron attached to the coffee mug has a special lens built in, and when a specific event is detected, a pattern emerges through the lens. It is said that if you use this apron, you can see into the future.

That's what he said.
*The interview remarks, profile, headline text, and images of the "AI Professor" in this article are generated using Solflare 's proprietary AI API wrapper "CODE Spinna."

The characters appearing in the text are fictional characters created by AI (artificial intelligence) and are not real people. Please also note that the accuracy, authenticity, and reliability of this information cannot be guaranteed. These are posted unedited to respect the expression of AI. However, since the direction of generation and the content of ideas include manual direction, this does not waive any rights that may arise as a copyrighted work or creative work. Furthermore, if anyone is interested in the ideas described in the article, I would like to work with them to make them a reality. Please feel free to contact the editorial department.