Is it free or do you pay with your personal data? – A new balance for the personal data market

Fair use data is one of the key elements of responsible AI. We shouldn’t only care about the quality of the data, but also how it was retrieved (mind you, often there are important connections between the two). In the digital economy, personal data is currency. Platforms like Facebook or Snapchat appear free but, as we are finally becoming aware, they are not. Are we, as users, paying too high of a prize for these services? In this blog post, we wish to show that re-shifting the flows of personal data is possible.

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Open vacancy in the AIGA project

The AIGA team at the University of Turku is hiring a project researcher or a research assistant for the remaining project period (until August 2022).

How to explain artificial intelligence?

Algorithmic decision-making is increasing rapidly across industries as well as in public services. By default, AI systems such as machine learning or deep learning produce outputs with no explanation or context. As the predicted outcomes turn into recommendations, decisions or direct actions, humans tend to look for justification. Explainable AI (XAI) provides cues to how and why the decision was made, helping humans to understand and interact with the AI system.

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Yes, privacy is worth the effort. Here’s why

When we advocate for privacy, we tend to concentrate on the negative consequences of privacy violations [56; 32; 19; 50]. These portrayals are extremely important, but they paint only one half of the picture. Privacy also brings about net-positive advantages for individuals and organizations. These advantages can act as powerful internal incentives, driving privacy adoption. A key addition to external incentives like regulation and public pressure.

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EU published an AI regulation proposal. Should we worry?

In late April, the European Commission laid out its vision of how AI technologies should be governed. The proposal meshes AI regulation with product safety rules, controls how AI systems should be developed and technically composed, introduces market supervision arrangements and gives the authorities wide-ranging powers to impose potentially crippling sanctions.

At first glance, the proposal seems quite a mouthful. It is complex, appears relatively heavy-handed and imposes a host of stringent requirements on developers. But is there really a reason to be worried?

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Authority is increasingly expressed algorithmically

AI is inconspicuously present in our everyday, guiding our engagement with the surrounding world. We should be talking more about how authority is embedded in these systems and how these systems affect us.

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AI Governance Bulletin 15/2021

The bulletin features the latest news, events and initiatives linking to AI governance. We post weekly highlights to showcase the range of activities around AIGA’s core themes: explainability, transparency, system design and commercialization of responsible AI.

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AI Governance Bulletin 12/2021

The bulletin features the latest news, events and initiatives linking to AI governance. We post weekly highlights to showcase the range of activities around AIGA’s core themes: explainability, transparency, system design and commercialization of responsible AI.

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Miten rakennetaan AI-valmis organisaatio ja miksi pian on pakko?

Jokaisen kasvuhaluisen yrityksen strategiassa on pian aikataulu, milloin organisaatio on AI-valmis – milloin yritys katsoo olevansa valmis tekoälyn laajaan käyttöön. Koska käsitteen merkitys tuntuu edelleen vaikealta hahmottaa, niin yritämme tässä kertoa, mitä AI-valmius meidän mielestämme tarkoittaa.

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How to build an AI-ready organization and why you will soon be forced to?

Every growth-hungry business will soon have a schedule for being AI-ready – for having all the skills and tools to implement cross-cutting and company-wide AI systems. In this post, I will explain in plain words what we at Talent Base mean by AI readiness.