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Data & Business Analytics Tuija Marin Data & Business Analytics Tuija Marin

Data Ethics In AI Driven Business Analytics: Ethical Data Collection And Minimizing Bias

Organizations increasingly rely on AI-driven analytics to improve decision-making, identify opportunities, and create competitive advantage. Yet AI systems are only as reliable as the data they are built upon. When data is incomplete, biased, or collected without adequate safeguards, AI can reinforce existing problems and generate misleading insights.

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AI Trends & Current Events Katariina Vakkuri AI Trends & Current Events Katariina Vakkuri

Responsible AI in 2026: The Trust Gap That Could Slow AI Adoption

AI ethics has changed shape. A few years ago, the conversation was mostly about principles, such as fairness, transparency, privacy, accountability, safety, and human oversight. These principles still matter, but in 2026 they are no longer enough. The more urgent question is whether organizations can turn those ideas into working practices.

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IoT & Home Devices Tommi Kukkonen IoT & Home Devices Tommi Kukkonen

AI in Our Everyday Environments – Ethical Issues for Privacy, Safety, and Misuse

Smart devices are becoming an increasing component of our daily domestic living. We are growing accustomed to drive smart cars, wearing smart wearables and we are also getting used to the idea of smart homes where lighting, heating, security systems, and remotely controlled applications are networked and communicating not only with us, but also with each other.

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Software & IT Katariina Vakkuri Software & IT Katariina Vakkuri

The Future of Work Is Not Automatic: How Do We Keep the Direction of Software Development Human-Centered?

Software work is not just producing code. It is continuous decision-making, structuring problems, and building shared understanding between stakeholders. When artificial intelligence participates in this process, it does not only speed up or slow down individual tasks, but reshapes the entire nature of the work.

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