AI in the future of working life
Generative AI, such as Chat GPT, has brought AI into a new light recently. In particular, its impact on working life has been a topic of discussion in Finland and around the world over the past year. Ilari Richardt, Director of Digital Services at Terveystalo, shared his views on the opportunities AI brings at Terveystalo's event "Tulevaisuuden työelämän tekijät".
Generative AI, which is the current state of the art, started in 2017 with a research paper published by Google. At the time of publication, it did not attract much attention, although a team of researchers had discovered a new and revolutionary way to store data. This new way of storing data virtually enabled the emergence of generative AI models. Today's models - such as GhatGPT - not only store words, but understand the context of the words and learn from it. For each word, the AI model is trained by asking three questions: why is this word here, what other words are related to this word, and how are they related.
– Thanks to the new storage method, today's AI models learn the context and can interact with us in a very understandable way, even if they don't understand things on a human level, says Richardt.
AI is not limited to a single domain, but has a wide range of applications. Goldman Sachs has estimated that up to 60% of professions will be transformed by AI. So AI is entering the world of work in a big way, and its impact could be revolutionary.
– In Finland, too, every company must now consider how AI can be used in its own business. The change is already underway, and AI will inevitably affect every organisation's personnel, the nature of work, career paths and competitiveness, among other things, says Richardt.
Many companies put the brakes on in exploring AI because they see the new technology as an expensive investment. Instead of building your own AI solution, Richardt recommends exploring different AI solutions with the help of technology providers, which makes them reasonably affordable.
– Several models can be augmented with the organisation's own data and ensure that the underlying AI data only contains data that is approved by the organisation. This allows everyone to get started in a lightweight way, confident that the AI will work according to the principles of the organisation.
Three ways to harness AI to work for you
1) AI as a content provider
Various AI applications offer assistance in content production. In addition to high-quality text, they can also be used to create images, videos, audio - practically anything. But you need to know how to talk to AI to get a satisfactory result. The use of AI may create new roles for organisations: there is a need for people who can interact with AI models and train them to produce content that meets the needs of the organisation.
2) AI as a sales assistant
It is already possible to harness AI as an assistant in sales negotiations. When two companies are negotiating a future partnership, the conversation can be recorded via microphone and the AI can be tasked with drafting a written contract proposal based on the conversation at the end of the negotiation.
3) AI as a data interpreter
AI can clarify complex information and crystallise it into a comprehensible form, which naturally improves the flow and efficiency of work. In many organisations, for example, there are a lot of employee manuals and not many people know every exception by heart. Instead of using open data, an AI assistant can be provided with the entire organisation's HR guidelines to internalise, and then be asked for instructions on what to do in specific situations. The AI assistant is able to retrieve the answer from the correct instruction, combine interpretations of different instructions and tell the inquirer what is the agreed way of doing things in the organisation.
Read more occupational health articles
True or false: sleep deprivation causes more road accidents than alcohol
True. There is also less awareness of the risk of accidents caused by sleep deprivation, which makes driving while tired insidiously dangerous. What level of drunkenness is equivalent to one night's sleep? Matleena Näppilä, occupational health physician at Terveystalo.
The same friendship phenomena are repeated in workplaces as in schools for children
We want to feel accepted and seen as ourselves, whether we are children or adults. With a best friend, this can feel stronger than in a large group, but in the workplace, heart-to-heart friendships can also pose challenges.
Terveystalo´s new centre of transport medicine promotes professional drivers' work ability
The transport and logistics sector is a major employer in long-distance Finland. Ensuring the well-being and fitness for work of professional drivers requires special knowledge of their needs and the nature of their work, which is why Terveystalo is now establishing a multi-professional centre for transport medicine to serve the transport and logistics sector. The new centre aims to find ways to address the main health risks for professional drivers, which are associated with musculoskeletal and lifestyle diseases.
Sleep - a critical cornerstone of lifestyle change
Sleep affects every aspect of our bodies, from the brain to physical performance. Because of its holistic nature, its importance in lifestyle change is undeniable. Eevert Partinen, a doctor and a sleep specialist at Terveystalo, explains how sleep is linked to key lifestyle diseases and how it affects our daily activities.
Terveystalo develops new approaches to mental health care with support from the Finnish Research Impact Foundation
Ari Väänänen, Research Professor at the Finnish Institute of Occupational Health, has received a Tandem Industry Academia Professor (TIA) grant from the Finnish Research Impact Foundation to work with Terveystalo to explore new approaches to mental health research using machine learning models and diverse data sets. The research, which will run from 2024-2026, will also shed light on the differentiated contexts of mental health in which different groups of workers operate and construct their work capacity. Based on an exceptionally large dataset, this multidisciplinary research will provide fresh data that will be widely exploitable.
AI learns to predict mental health diagnoses, results can be used for prevention
Artificial intelligence learned to identify traits that can predict a future mental health diagnosis from responses to an occupational health questionnaire assessing health and wellbeing, according to a study by Terveystalo and the Finnish Institute of Occupational Health. The finding sheds light on the potential of AI in identifying and preventing mental health problems.