Artificial Social Intelligence: Where Next?

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Technologies have come a long way in recent years, and today a computer is able to drive a car, write a film script, or play a game of chess. With so many possibilities coming from artificial intelligence and machine learning technologies, it leaves many wondering where this will end up. Despite its power, the future of artificial intelligence is not guaranteed. Just because something works well in one culture does not mean it will translate correctly to another, and this is the social side of artificial intelligence. A phrase that is thrown around a lot in the world of artificial intelligence is that “when a human makes a mistake, one person can learn, but when an AI makes a mistake, all future AIs can learn.”. This might make perfect sense on the surface, but experts are questioning whether this statement will always be true, and if it is not, then in which cases will it hold up. The recent developments in artificial intelligence are undoubtedly impressive, with recent examples of a film script being written entirely using AI technology. It is being used to push the boundaries of imagination. Furthermore, new achievements like this are certainly groundbreaking and pave the way for the future of artificial intelligence. Using AI to play a game of chess or other mental strategy games is one thing, but AI is now seen as a robust solution for countless activities and processes in the future. As a result, many are wondering where the limits of artificial intelligence are going to be.

Are There Limits To AI?

Some experts in the field believe that where machine learning and artificial intelligence exceeds or matches human performance, which is definitely the case in a number of applications, it is not carrying out the task in a way that can be compared to the human brain. This brings a lot of questions around artificial social intelligence and its use in real-world applications.

Risk Management

A great example of this is in Google’s driverless cars. Initially, the algorithms created for the cars artificial intelligence were far too cautious. Creators then made the algorithms more realistic to a human driver, and the car had its first accident. This is because artificial intelligence cannot respond to risks in the same way as a human will, making applications that involve a level of risk a real challenge.

Cultural Challenges

Culture and societal norms also come into this conversation heavily, as each area, country, language, or dialect has a slightly different approach to things. Continuing on with our example of driverless cars, the driving etiquette in various countries is very different. In some countries, flashing headlights indicates that you are allowing another driver to go, while in others, it signals that you have the right of way and will not be stopping. These contradicting signals make things very challenging for autonomous vehicles. When we start considering how artificial intelligence should make decisions in a social situation, it is difficult to see how it could avoid cultural issues. We could end up in a situation where there is no unanimous safe driving algorithm for the world, but differing ones for each country. It isn’t just self-driving cars that face these AI concerns, but many other areas where machine learning could be used. There are cultural differences in security and privacy, and we would need to make sure that artificial intelligence has the ability to respect these differences and follow them appropriately. Many experts in artificial intelligence struggle to understand how these cultural differences will get in the way of artificial intelligence technologies. There come further concerns when we think about the fact that these cultures also adapt and change over time. Developers will need to consider generational aspects and differences when working with artificial intelligence, and there is certainly not going to be a one-size-fits-all approach to these technologies. There is likely to be a careful balance between the optimum use of artificial intelligence and staying in the realms of societal differences. This technology must be developed to enhance both the economy and society and the subject of artificial social intelligence is still a challenging one.

Artificial Intelligence Training Courses

The future of technology depends on the advances in and use of artificial intelligence and machine learning. There is a huge demand for professionals and experts in the field of AI, and whether you are looking for a new career or considering advancing your team, the right training is critical for success. Here at TSG Training, we are experts in providing training courses for artificial intelligence and machine learning. We have a wide range of online and virtual courses covering all levels of AI training, from foundation courses for beginners to advanced options for those with existing experience. BCS Essentials In Artificial Intelligence is a popular course for learners with a keen interest in artificial intelligence but limited experience on the subject. It is a great way to get a solid understanding of what AI is, how it works and what it can be used for. Our BCS Foundation Course In Artificial Intelligence is another top-rated AI course at TSG Training, and it takes place over two days. Learners will build on the essentials with certification during the course and discover how artificial intelligence delivers business, engineering, and knowledge benefits. At the end of the course, all students will have the ability and understanding to create their own AI product. In addition to our online training courses, we also offer free webinars, which provide an insight into our courses and subjects. The Artificial Intelligence Webinar Recording covers all the basics of artificial intelligence, the machine learning process and the benefits and challenges these can bring. We also have a new Artificial Intelligence Course From ISTQB Webinar coming up in March, covering everything you need to know about the new course in our portfolio. To find out more about our training options, or for advice and guidance on the right course for you, contact our specialist team.

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