In 2023, we witnessed a revolution in artificial intelligence. Software Development Association Poland (SoDA) assembled expert insights and use cases and compiled them into a comprehensive and extensive report on using AI in the public sector. SoDA is essential in our company since they have awarded us multiple times. Let’s dive into the details of SoDA’s mission, our involvement and the most important takeaways from their report on artificial intelligence (AI) in the public sector.
Spreading Polish expertise around the world.
Software Development Association Poland aims to promote Polish programmers and software locally and internationally. They organise training and events for industry specialists and managers that enable free networking and exchange of experiences.
SoDA organises its annual conference, inviting special guests and company executives for a two-day gala with an award ceremony for the most prominent Polish software experts in export, innovations, social responsibility, and education.
The bond between DAC.digital and SoDA.
This year has been an excellent success for DAC.digital. In 2021, we achieved a 12-fold increase in our services exports compared to 2020 and a 700% increase in revenue overall. This would not have been possible without the hard work of our entire team.
This year, we attended the SoDA conference and, yet again, came out victorious. We won an award in the Dynamics of Revenue Growth/New Business category and a distinction in the Foreign Markets category.
We are extremely honoured to have been recognised twice quickly after joining the SoDA ranks, especially since over 200 valued members deserved recognition just as much.
Our ambassador in the SoDA ranks.
Our membership in SoDA has recently been strengthened by Radosław Szmit, DAC.digital’s Head of Growth. During one of the networking meetings called SoDA Breakfast in Kraków, Radosław’s engagement was recognised, and he was asked to become the organisation’s ambassador.
His mission as an ambassador will be to promote the organisation and its goals among the IT world experts and encourage them to join and contribute to fostering Polish talents in software development worldwide.
The perspectives of AI in the public sector.
SoDA AI Research Group (SAI) collected the works from the partners engaged in Polish economic progress in the public sector and its reputation in foreign markets. It resulted in a report that displays a vision based on accurate data, in which the technologies can contribute to developing the country’s public sector infrastructure.
Although the report focuses specifically on the uses of artificial intelligence in Polish public services, the presented solutions and processes can be applied to other countries and their respective economies and public sector needs.
Learn more about AI!
Key takeaways from the report about AI in the public sector.
This report focused only on artificial intelligence, putting other emerging technologies aside unless they were related to AI. It stemmed from the firm belief that the public sector is shaping the future and prosperity of a country and its citizens and thus must also keep up with changes and innovations.
Members of the association pay close attention to the ever-going changes and progress in new technologies and how they can change our reality. Experts and researchers, including Piotr Heflich (Liki Mobile Solutions), Adam Dobrakowski (COGITA), Dominika Kaczorowska-Spychalska, PhD (University of Łódź) and more, analysed the AI prospects in different public services. Here are some of the key takeaways:
1. Open-source software produced a new opportunity window for the development of artificial intelligence.
2. Challenges in the public sector indicate that investing in new technologies like AI is necessary rather than a choice. Experts believe that AI integration into government operations and public services will significantly impact the organisation’s future, whether in the public or private sector.
3. Training staff to maximise the use of AI and other emerging technologies should be a priority for every organisation that operates within the digital space and, in some cases, outside of it.
4. Organisations must stay current with recent solutions and invest in adopting them to keep current and ahead of the competition.
5. Implementing AI solutions in government agencies will influence the staff’s efficiency and range of tasks, helping them automate the more repetitive tasks and focus on more complex tasks.
6. The most crucial conclusion highlighted in the report was that, first and foremost, artificial intelligence solutions are there to support the human force, not to replace it, as many often fear and use it as an argument against embracing it.
What areas of the public sector will benefit from implementing artificial intelligence, and how?
The role of AI in the private sector is apparent and highlighted across businesses and industries. Let’s dig deeper into the most important areas of the public sector that will benefit from adopting AI, according to the SoDA’s report.
Supporting public safety answering points with AI.
Delivering swift and timely first aid in an emergency is one of the highest priorities and most prominent challenges for public services—especially when the specific location of an incident is unknown. Polish experts are developing an application that could utilise advanced AI algorithms to analyse the video and audio streams on site.
The aim is to allow the answering point workers to preliminarily assess the victim’s state and assist in performing critical first aid. Advanced image processing algorithms can aid in analysing initial symptoms like paleness or breathing patterns. It will improve the reaction time and quality of the first aid procedures.
An application like that could also employ artificial intelligence to optimise the routes for emergency vehicles to find the fastest option to get to the site. They could help bypass higher-traffic areas to ensure a swift drive and more efficient help.
AI innovations in public administration.
AI adoption in public administration can positively influence and boost engagement among workers in local governments. Introducing automation and deploying AI for efficiency is essential to face society’s increasing expectations. AI adoption in government agencies can be difficult due to the employees’ different ages, capabilities and tech savviness.
However, when properly educated and onboarded with new tools, artificial intelligence can be a valuable assistance in administrative agencies. Implementing AI can increase the effectiveness of the staff and help reduce human errors resulting from fatigue or momentary distraction.
Using AI also aids in effectively personalising services offered to customer’s individual needs. It also saves a lot of time with the automation of some processes, increasing the overall satisfaction of staff and customers.
Enhancing public healthcare delivery with AI solutions.
AI is an essential part of the contribution of the public sector. We’ve already mentioned how AI can contribute to enhancing diagnostics because it’s a field in which we have our projects. However, artificial intelligence applications for health are much more extensive. Here’s what SoDA experts point out in the report.
Improved and quicker diagnostics.
AI can also bring a critical change in healthcare and diagnostics for the national health service. One of the solutions mentioned in the report was using AI for a detailed analysis of cancer cell images. With tools like that, medical professionals can perform diagnosis more efficiently and swiftly administer the correct treatment plan, increasing patients’ chances through immediate action.
This tool would also enable analytics based on previous data and update the procedures accordingly. Moreover, AI technologies will contribute to quicker analysis of medical imaging like MRI and X-rays and aid in analysing blood samples and other materials. Furthermore, the algorithms may also assist in suggesting the best medication based on the results.
Parkinson’s Disease Progression Prediction
Chatbot assistant for more efficient doctor’s visits.
When a patient is going for a doctor’s visit, they need to explain every detail that might be a potential cause behind the problem. On average, in Poland, a doctor’s visit takes 15 minutes. However, a detailed interview might take a large chunk of that time and prolong the stay. Moreover, even if the doctor has some information, they must revise it. All the small steps of a visit amount to some time that is wasted. Here’s where the AI virtual assistant comes to aid.
AI-powered chatbots could make assistants to doctors. Their task would be to gather patient information, ask relevant questions and deliver them to the doctors concisely. Polish company telDoc proposes a chatbot that would not only be able to pick the necessary information from the patients to convert it into equally long bot conversations. It wouldn’t help.
AI chatbot transform e-commerce customer support
Instead, they wanted to achieve something more than that. They wanted bots to summarise the most important information for better efficiency. It wasn’t an easy task, and it involved advanced technologies like natural language processing and supervised learning. However, it has the potential to revolutionise modern healthcare
AI for disease monitoring and prediction.
AI, or more specifically, machine learning, can have a significant impact on the way diseases are monitored and how their progress can be predicted. ML techniques can aid, for example, in predicting the progression of Parkinson’s disease.
Our team worked on a project to find new indicators of Parkinson’s disease progression through big data analytics. The proposed solution involved developing an ML model that could predict MDS-UPDRS scores for each patient, personalised to their level of protein and peptide.
AI modeling and machine learning in detecting OA disease among dogs
This solution required a thorough data analysis to uncover hidden patterns and relationships. The discovered patterns would be later used to train machine learning algorithms that could predict the progression of Parkinson’s disease in monthly intervals.
Parkinson’s Disease Progression Prediction
AI in education and research.
AI is paving its way into all industries. Education is also a crucial one. However, it comes with its opportunities and challenges.
Opportunities for AI in education.
Personalised education: with classes being overloaded, it might be hard to tend to every student and provide them assistance in those areas that pose a challenge. Teachers cannot personally adjust the learning pace for every student. Here’s where AI can help. Students could have their “virtual assistants” to help them understand the material.
Adaptive e-learning platforms: platforms that would adjust the difficulty and types of tasks based on interactions with a student and could revolutionise the way we teach and learn. They could keep the students engaged by changing the challenges and keeping them on an adequate level to maintain engagement. AI applications could even measure emotions and interest via analysing emotions or tone of voice.
Measuring progress and effectiveness: AI can measure students’ results and progress to help suggest which direction to take for further development. It can save time debating which areas need to be revised and improved. Artificial intelligence can also aid in preparing tasks, challenges and tests for the students that would be tailored to enhance their steady progress.
Naturally, these solutions would only work to support teachers in their mission. AI-based tools for learning need to be strictly controlled and supervised to ensure that they provide adequate, up-to-date knowledge free from misinformation. AI is still not at the stage where we can trust it with complete correctness. Therefore, the teacher’s control will be essential.
Opportunities for AI in research and academic studies.
Virtual labs and simulations: these would allow access to advanced research tools without being physically present at the facility. It may be a game changer for those areas that have limited resources.
Enhanced and faster research: advanced data analytics AI algorithms can speed up the research progress and predict the results of experiments. For example, IBM research tools employ AI to identify the most promising big data simulations. It can also indicate the most optimal infrastructure for conducting them, whether a simple calculator or a quantum computer. Using AI in these processes can help reduce the number of iterations.
Automation and process optimisation: employing AI for automation can enable universities and other academic facilities to more efficient management, just like in business or sales. It can aid in student management or administration work, allowing the staff and student body to focus on more important matters.
Using generative AI in the education sector should be considered on three levels: teaching, research and academics, and administrative. The starting point of each should involve a critical analysis of the validity of introduced GenAI-based solutions or tools, experimenting with them and actually experiencing the technologies, both in terms of benefits and challenges they involve.
AI and Open Data.
Artificial Intelligence (AI) thrives on data. The vast computational capacities of modern AI models, particularly deep learning algorithms, allow them to identify patterns, make predictions, and generate insights that can often elude human analysis. However, the quality and amount of data these models are trained on can significantly impact their performance.
Open data initiatives break down the barriers of data exclusivity, allowing a diverse group of researchers, developers, and enthusiasts to collaborate and refine AI systems. This democratisation of data prevents the monopolisation of AI benefits by a select few and instead spreads its advantages to a larger populace. Moreover, with open data, biases that may be present in restricted datasets can be more readily identified and rectified. This fosters the development of more ethical and unbiased AI systems, pushing the technology towards a more inclusive and equitable future.
In the public sector, open data can spur economic growth by providing entrepreneurs, businesses, and researchers with information that can be used to create new products, services, or solutions. For instance, open transport data can lead to the development of apps that provide real-time transit information, while open health data can lead to innovative health solutions.
Moreover, governments can more efficiently analyse patterns and make data-driven decisions. This can lead to better public service delivery tailored to the actual needs of the population. For instance, analysing traffic data can lead to improved urban planning or examining health data can optimise the distribution of medical resources.
Challenges and solutions.
With the diverse working environment that we often encounter in government agencies and other public sector units, there are several doubts and uncertainties among public servants regarding AI applications, their potential benefits and risks. They include:
- Fear of the unknown: the unknown can be hard to accept for some. It can bring anxiety and uncertainty if it can be understood and applied.
- Fear of losing the job: when automation is involved, employees often fear that machine learning and robotic process automation will replace them entirely instead of simply assisting.
- Insufficient competencies and knowledge: some public sector workers are afraid they won’t be able to acquire the necessary skills and expertise to face the innovations and their requirements.
- Attachment to the traditional ways: many people like to stick with what’s comfortable. Diving into the new is complicated once we get accustomed to specific procedures and processes.
- Unclear communication: implementing new technologies into the infrastructure can sometimes be miscommunicated. If the employees don’t receive clear information on the reasons for the change, the benefits it can bring and the goals it helps achieve.
The year 2023 marks the peak of interest in "artificial intelligence" technologies. New tools - especially within the field of the so-called generative artificial intelligence - have sparked the imagination and hopes for simplifying many tedious tasks and improving the quality of public services. At the same time, however, emerged naturally in such an event concerns about jobs and positions.
How can we address the doubts and misconceptions regarding AI adoption in the public sector?
We can handle the doubts and uncertainties above in several ways:
1. Communication and education: the most crucial step in eliminating new technologies in the public infrastructure is communicating the goals and benefits.
2. Comprehensive training: theory can only get us so far. That’s why ensuring the employees receive practical training in new solutions is vital. Organising workshops for the staff to try out new tools can vastly aid in accommodation.
3. Participation in the process: keeping staff members engaged in the implementation processes allows them to feel involved in shaping the change, making it more familiar and understandable.
4. Gradual, smooth implementation: new technologies and solutions will be easier to grasp if introduced gradually and adequately explained. We must remember that every organisation is different, and tools that work in one may not apply to another. It’s essential to slowly implement the changes and closely watch the effects to ensure that this is what we’re looking for.
5. Adjusting to the employees’ needs: changes we want to implement must include everyone in the organisation. That means all staff members with special needs (e.g. people with disabilities or neurodivergent). It may need effective regulation and adjustments to consider when choosing new technologies, including AI.
A droplet in the ocean of possibilities.
The above solutions and ideas are only several opportunities for using AI in the public sector and government agencies. AI can vastly improve government operations and other processes within public services. The SoDA AI report mentions many more possibilities for these technologies to revolutionise public service.
In the report, we can read extensive proposals on adopting AI in areas like public security, law and legislation, public transport, reproductive medicine and more. We firmly believe that growing interest in this field will only accelerate and bring us more innovations and qualified experts, as shown in SoDA’s example.
Let’s grow together with AI.
If you want to build AI systems and other solutions for your company or the common good, please contact us. As proud members of SoDA, we have prominent Polish (and not only) experts in our ranks. They will be able to tailor a product to your dreams.