Blog

  • AI & theological and philosophical questions.

    I read an article in Kirkkojakaupunki (2025-01-24) about Paavalinkirkko in Helsinki that will have a completely AI-made and performed service on March 4th. The interesting thing was that in discussion with the AI, it was concluded that it cannot give absolution from sins or bless, because it requires faith. AI does not have faith, so even if it can put together a service and read the text, the limit (for now) is in performing certain rites. Then I believe that the whole project is de facto dead. The faithful visitors who regularly go to services, I would guess, do so precisely for the human contact with a priest. They also have, from what I have understood, clear opinions about the various priests, their advantages and disadvantages. That they would want to hear an AI read up a service, no matter how good it is, is not what these visitors come for. As the priest Petja Kopperoinen, who is behind the experiment, in fact said, priests exist to meet people. Yes, one can agree that it is important with the contact between individuals and the priest, and more could certainly be done in that area. Especially with all the worry and anxiety that people feel, which can later develop into outright mental problems. So more investment in that is not stupid, but if it comes at the expense of rationalizing away services, then I think you miss a bit.

    The mistake I see is that if you go for having services with AI, you remove an important meeting that takes place in it, which must be considered important, namely the collective meeting between the congregation and the priest. How important this meeting is can be seen by how much emotion there is in the election of a vicar in different congregations.

    Anyway, the question of how far one takes AI to help in a service between people, which a service is, raises very interesting questions. I think of at least these questions that are raised.

    • The nature and consciousness of AI: A central question is whether AI can at all reach a level of consciousness or spirituality that is comparable to human faith. In theology, the unique relationship between man and God is often emphasized, a relationship that is based on faith, hope and love. Can a machine, no matter how advanced it is, really enter into such a relationship? Philosophically, this touches on questions about the nature of consciousness and what it means to be a person.
    • The importance of rites: In many Christian traditions, the sacraments and liturgical rites are considered central to conveying God’s grace and presence. If the AI cannot perform these rites, what does it mean for the validity of the service and the experience of the sacred? Is it not de facto a watered-down service? Here one can discuss whether it is the action itself or the spiritual intention behind it that is important.
    • The community of the congregation: The Christian faith emphasizes community and sharing life with others. To meet in the service, share experiences and support each other is an essential part of this. If the AI takes over the service, is there a risk that this community will be weakened? How does it affect the congregation’s identity and cohesion?
    • The role of the priest: The priest traditionally has an important role as a spiritual guide, comforter and mediator of faith. If the AI can perform many of the priest’s tasks, what happens to the priest’s role and identity? Do we need to re-evaluate the priest’s tasks in the light of the new technology? Maybe the priest would have more time for pastoral care?
    • The possibilities and limitations of technology: It is important to see both the possibilities and the limitations of technology. AI can be a tool to make services more accessible, perhaps by offering them online or in different languages. But it is also important to be aware that technology cannot replace the human experience and the spiritual dimension of faith.
  • AI in Social Work: Balancing Technology and Human Touch

    AI robot as socialworker Copilot
    AI robot as socialworker Copilot


    I have read quite a bit about AI and how it is used in various fields, but mainly been focusing on social service. In service provision there are lots of possibilities to use AI. Chatbots of different kinds are probably the most obvious and apparent application. At least it is the one that users most easily notice. If AI is used in the processes of handling documents without real-time interaction, it is almost impossible for the client/customer/user to notice it. There are many uses that are invisible for the client, like how people in queue could be prioritized.
    Among others, I happened to read the article ”AI Chatbots in Social Services” in the Stanford Social Innovation Review (SSIR), which discusses the potential and challenges of using AI chatbots in social services. The article is worth writing about as it provides a good example of key questions.
    One of the most pressing is the responsible use of AI is of growing concern and interest.  This makes efforts like Z-inspection highly needed. Z-inspection is a globally recognized methodology for evaluating ethical risks and challenges related to artificial intelligence. The methodology is based on interdisciplinary collaborations and includes experts from various fields to ensure that AI solutions are responsible and ethically defensible. By using Z-inspection, organizations can better understand the ethical implications of their AI projects and work to minimize the risks of negative consequences.
    But back to the article in SSIR. It argues that AI chatbots can be a valuable tool but emphasizes the importance of using them responsibly to avoid negative consequences. This is certainly a point of view I can agree with. The article highlights the crucial role of human contact in social services and advocates for AI chatbots to complement, not replace, human interaction. This is likely one of the most important, if not the most important, reasons why AI is only a tool. One could perhaps express it by saying that the unique selling point (USP) for social workers and social work is explicitly the human contact. To see the individual as a whole and not just get stuck in processing a case automatically solely based on strictly mathematical (probability-based) rules.
    That said, one can still argue, as the article does, that AI chatbots are a valuable tool. The article highlights the potential of AI chatbots to streamline and improve social services. They can be used to provide information and support to those in need, automate tasks such as scheduling and case handling, and provide faster and more accessible service. The argument for AI is that this can free up resources and personnel, allowing for more time for complex cases and personal contact where it is truly needed.
    But the main point must still be the importance of responsible use. The  warns of potential risks and challenges. It emphasizes that AI chatbots can contain biases, lack the empathetic ability that is crucial in social work, and must not replace human contact. The argument is that careful design, testing, and evaluation are necessary to ensure that the chatbots are fair, reliable, and complement human interaction in a positive way. Data protection and ethical considerations in the use of AI are also highlighted.
    The conclusion is that AI chatbots can function as complements, not replacements, for social workers. The article underlines that human contact is crucial in social services for building trust and providing adequate support. AI chatbots should therefore be seen as a complement, not a replacement, to human interaction. The argument is that chatbots can handle simpler questions and tasks, giving staff more time for individuals who need more personal support and complex interventions. It is about finding a balance where technology can enhance but not undermine the human aspect of social services.
    In summary, the article emphasizes that AI chatbots have the potential to improve social services, but it requires a conscious and responsible approach. By focusing on ethical design, careful implementation, and above all, by seeing them as a complement to human interaction, AI chatbots can become a valuable tool to strengthen and streamline social services. This ties into why I have been interested in the work being done for the ethical use of AI, especially the work done within the framework of Z-inspection. I am happy to be a member of the Advisory bord.

  • Navigating the AI Revolution: Insights from Cloudtechtallinn (CTTT25)

    Georg Henrik Wrede CTTT25
    Georg Henrik Wrede CTTT25

    I had a great time at the Cloud Technology Townhall Tallinn 2025 (CTTT25) event on January 30th and 31st. The event provided a fascinating glimpse into the evolving world of AI and its impact on various aspects of business and society. From security best practices to the ethical considerations of AI development, the conference offered a diverse range of topics that sparked thought-provoking discussions. Not to mention the great possibility it provided to both make contacts with the sponsors who had made the event possible and to make new friends with likeminded people.

    Keynote Highlights

    • Vesa Juvonen set the stage with his keynote on ”The Power of Community in the Age of AI.” Juvonen’s insights into the creative potential of AI and the importance of context in AI interactions resonated with the audience. He emphasized that AI is a tool that enhances human capabilities rather than replacing them entirely.
    • Ott Velsberg (Estonian Government) explored the role of AI in building the next generation of e-governance. His presentation highlighted the potential of AI to improve public services and enhance citizen engagement.
    • Chris Huntingford  closed the event with a thought-provoking keynote on ”Defining the Default of the Next Generation in the AI-verse.” Huntingford challenged the audience to consider the ethical implications of AI and the responsibility of developers to ensure its safe and responsible use.

      

    Highlights from Breakout Session I attended.

    • Gregor Reimling led a packed session on ”Top 10 Azure Security Best Practices.” In a fully packed hall Reimling shared practical tips for securing Azure environments and protecting against evolving threats.
    • Sari Soinoja offered a more intimate session on ”Hidden Gems of SharePoint Premium.” Soinoja showcased the advanced features of SharePoint Premium, including its potential for streamlining HR processes and automating document workflows.
    • Jasper Oosterveld  delved into the intricacies of ”Unlocking the Power of Sensitivity Labels.” Oosterveld explained how sensitivity labels can be used to control access to sensitive information and ensure compliance with data protection regulations.

     

    • Pieter Op De Beéck challenged conventional thinking about ROI in his session on ”The Real ROI of Copilot (for Microsoft 365).” Op De Beéck argued for a shift in focus from Return on Investment to Return on Employed (ROE), emphasizing the importance of measuring the impact of technology on employee productivity and well-being.

      

    • Nathan Sweeney  captivated the audience with his presentation on ”Dodging the AI Apocalypse with Azure Foundry.” Sweeney shared his insights into building secure and reliable AI applications using Azure Foundry.

      

    • Nicklas Ahlberg provided practical guidance on securing Windows 11 environments in his session ”10 Security Settings You Must Configure in Windows 11.” Ahlberg shared real-world examples of how to protect against common security threats.

      

    • Sara Fennah explored the hidden productivity gems of Microsoft 365 in her session ”Winning Big with Microsoft 365: Discovering Hidden Productivity Gems.” Fennah showcased the advanced features of Microsoft 365 that can help organizations streamline workflows and improve collaboration.

      

    • Feline Parein provided a comprehensive overview of setting up the Power Platform for success in her session ”Environment Essentials: Setting Up Power Platform for Success.” Parein shared best practices for configuring Power Platform environments and ensuring scalability and reliability.

     

    • Pauline Kolde offered practical strategies for managing information overload in her session ”Overcoming Information Overload: How to Build a Second Brain.” Kolde introduced the PARA method for organizing information and improving productivity.

      

    • Teele Tamme shared lessons learned from Microsoft’s journey with generative AI in her session ”Empowering My Team with Generative AI: Lessons from Microsoft.” Tamme emphasized the importance of experimentation, validation, and human-centered leadership in the age of AI.

     

    The CTTT25 event provided a valuable opportunity for attendees to learn about the latest advancements in AI and their potential impact on business and society. The diverse range of speakers and topics ensured that there was something for everyone, regardless of their level of technical expertise. As AI continues to evolve, events like CTTT25 will play an important role in fostering dialogue and collaboration around the technology that is changing all our lives.

    Read more and check out the speakers, those I mentioned and all others on the CTTT25 website: https://cloudinntech.com/

  • DeepSeek – what’s next?

    What is the commotion about in a nutshell?

    Basically there are two things going on at the moment. One is the discussion on the Technological innovations of DeepSeek. The other discussion is on how the stock market has reacted to the news.

    Main Technological Innovation of DeepSeek

    1. Open-Source AI Models: DeepSeek has developed open-source AI models that offer comparable performance to top chatbots like OpenAI’s ChatGPT at a fraction of the cost.
    2. Efficiency and Cost-Effectiveness: The company’s AI model, R1, is highly efficient and cost-effective, challenging the belief that AI development requires vast amounts of power and resources.
    3. Advanced Reasoning Skills: DeepSeek’s models, particularly R1, demonstrate advanced reasoning skills, such as the ability to rethink approaches to problems, making them stand out in benchmarks like AIME 2024 and AlpacaEval 2.0.

    Market Reaction

    1. Market Turmoil: The release of DeepSeek’s AI models caused significant turmoil in the tech market, with major companies like Nvidia experiencing a massive drop in market value.
    2. Investor Concerns: Investors are concerned about the potential impact of DeepSeek’s technology on the future of AI and computing, leading to dramatic market fluctuations.
    3. Long-Term Implications: Analysts believe that DeepSeek’s advancements could lead to a reevaluation of costs, strategies, and research approaches by major tech companies, potentially altering the competitive landscape.

    DeepSeek AI Models Overview

    DeepSeek AI, a Chinese startup, has recently launched its groundbreaking AI models, DeepSeek R1 and DeepSeek R1 Zero. These models have quickly gained attention for their exceptional performance in various tasks such as coding, mathematics, multilingual processing, and reasoning. What sets DeepSeek R1 apart is its open-source nature and affordability, making it accessible to a wider audience. The model operates under the MIT license, making it significantly cheaper than proprietary models like OpenAI’s ChatGPT.

    Market Reaction

    The introduction of DeepSeek AI models has caused a significant stir in the tech industry. The stock prices of major tech companies, including Nvidia and other AI hardware manufacturers, have taken a hit due to the cost-effective nature of DeepSeek’s models. Nvidia’s stock, in particular, saw a dramatic decline, losing nearly $600 billion in market value in a single day. This reaction highlights the disruptive potential of DeepSeek’s models, which offer comparable performance at a fraction of the cost.

    Future Expectations on AI

    Looking ahead, DeepSeek AI models are expected to continue challenging the dominance of established players in the AI industry. Their affordability and open-source nature could democratize access to advanced AI technologies, enabling more developers and organizations to leverage these tools for various applications. Additionally, the ongoing advancements in AI and the increasing demand for efficient and cost-effective solutions suggest that DeepSeek’s models will play a significant role in shaping the future of AI development.

    So what can we expect from President Trump?

    DeepSeek is highlighting the competition on AI between USA and China.  Based on recent statements and actions, we can make an “educated guess” (if that expression is allowed) about how President Trump might react to the news about DeepSeek.

    Immediate Reaction

    President Trump has already commented on DeepSeek’s breakthrough, calling it a “wake-up call” for American industries. He acknowledged that DeepSeek’s AI model is not only faster but also much cheaper than its US counterparts, which he believes could be a positive development for America. This suggests that while he recognizes the competitive threat posed by DeepSeek, he also sees an opportunity for US companies to innovate and reduce costs.

    Long-Term Strategy

    Trump’s administration has announced a massive $500 billion initiative to boost the United States’ AI infrastructure, known as the “Stargate” project. This project aims to build advanced data centers and infrastructure in Texas, with key partnerships including OpenAI, Oracle, and SoftBank. Trump’s focus on increasing US competitiveness in AI and tech was a central theme of his speech, where he reassured American companies that the administration would push to reduce costs while still achieving high-quality results.

    Geopolitical Implications

    Trump’s stance on China has been complex and often fluctuates between aggressive and conciliatory. While he has previously taken a hard line on China, including imposing tariffs and criticizing Chinese tech advancements, his recent comments on DeepSeek suggest a more nuanced approach. He views DeepSeek’s cost-effective innovation as a potential asset for the US, indicating a willingness to learn from and compete with Chinese advancements. This could mean that while he continues to see China as a main opponent, he might also use this competition to drive further innovation and efficiency within the US tech sector.

    In summary, Trump’s reaction to DeepSeek is likely to be a mix of recognizing the competitive threat, using it as a catalyst for further investment in US AI infrastructure, and maintaining a strategic stance on China. This approach aligns with his broader goals of ensuring US technological dominance and economic efficiency.

  • Focus on Attention!

    In the episode (Jan 17th 2025) of the New York Times Ezra Klein Show “Democrats Are Losing the War for Attention. Badly.” featuring Chris Hayes, they discuss the concept of attention as a valuable resource. They examine how attention is manipulated in the political arena. They explore the idea that our attention is constantly being diverted by various stimuli. This makes it challenging to focus on important political issues. The conversation highlights the need for a radical shift in how we approach attention and its implications for democracy. You might want to listen to the episode.

    I find this topic very important in our current societies that live in a system of “attention economy” online on different platforms. The discussion is ongoing about whether and how the attention economy, driven by AI, impacts elections in Western democracies. People are questioning the kind of impact it has had. While AI offers opportunities for enhanced engagement and voter mobilization, it also presents challenges. These challenges relate to misinformation, privacy, and the polarization of public opinion. Addressing these challenges requires an effort to promote transparency, accountability, and the responsible use of AI in political communication. The European Union has been actively working on policies to regulate social media platforms and enhance security. The Digital Services Act (DSA) came into full effect about one year ago (Feb 17th 2024).  This introduced new responsibilities to online platforms with users in the EU. The aim is to better protect users and their rights. This includes giving users means to flag illegal activity. It also makes it easier to submit complaints and contact the platforms.

    It is clear we will see many new initiatives, especially from commissioner Henna Virkkunen (Henna Virkkunen – European Commission) on the crossroads between Democracy and Technology.

    While all this is “big politics,” there is also the other dimension. How are individuals coping with technology and the competition on attention? What are the psychological tricks that can be played on us? What kind of pitfalls are there?

    I found these books interesting:

    Chris Hayes: I Want Your Attention. I Need Your Attention. Here Is How I Mastered My Own.

    Johann Hari: Stolen Focus: Why You Can’t Pay Attention–and How to Think Deeply Again

    Anders Hansen: The Attention Fix: How to Focus in a World That Wants to Distract You

    Daniel Kahneman: Thinking fast and slow

    If I try to summarize these in four books in four short points it would be something like this:

    Attention Capitalism: Our attention is commodified and exploited, leading to a cycle of distraction and superficial engagement with political messaging.

    Societal and Economic Factors: Declining attention spans are not just personal failings. Broader societal and economic forces influence them.

    Evolutionary Distractibility: Our brains are wired for distraction, but understanding this can help us develop strategies to improve focus.

    Cognitive Biases: Our decision-making processes are influenced by both rational and emotional factors, affecting how we engage with political messaging.

    So, where does this leave us?
    My takeaway would be. Yes, big policies are probably helpful to some extent, but as individuals we all have the same human deficiencies. What should you do? Stay focused. Notice how different actors play tricks on you. Be aware that they use the bias for making emotional rather than rational decisions.