 Minä olen Tuukka Lehtiniemi. Minä olen Fynlainen, jossa olen tullut alta-universitijan Helsingin. Olen tullut kysymyksiä, että yksityisellä ekonomia ei ole vaikea, että me ei olemme niin paljon, mitä teemme. Ja kysymyksiä, miten saadaan ja muistaa sitä. Sitä on puhuttu, että oletko kiekkoa tämä kysymys? Mitä sinä sinä otetaan? Onko sinä ajattelin? Minä voin myös ottaa esim. Mutta oletko sinä? Onko sinä ajattelin? Onko sinä ajattelin? Onko sinä ajattelin? Onko sinä ajattelin, että on mukavaa, että sinä otetaan niin paljon dataa, mutta ei ole niin paljon dataa kuin myöhemmin ymmärtää. Hyvä. Se on todella tullut kysymys. Meillä on tullut tullut tullut kaikkia tuntia. Meillä on tullut tuntia ja tuntia, jotka oletko tuntia. Mutta meillä on tuntia tuntia, ja meillä on tuntia. Pysy broken kickboard ositajista. Kun ve gros noussen pivukallis Se on todella pidgeonut kaikkia tuntia, että persól Alison. Me rerunnein sitä yritämme. Me plottan uus priekset är att broomarvo, vil Four Four 4 435, puchi Whatever, p levenP 보� van sin� haber, pärsef agit sokap, piringarv isn organisms for free data, you can read a few articles per month, but these two are more interesting I think. It says that if you pay $60 a year, they will collect all kinds of data, track your user in the service and outside it as well, and then give you advertisements, and with $90 a year you get all the content without the tracking and without the advertisements. Joten mitään dataa voisi sanoa, että haluaisin ottaa 30-dollaiset disconttia. Tämä on semmoinen asia, joten kyllä. Nyt, miten asioita ovat tai järjestelmät tai digialkoimista, on tullut kaikilla asioita. Tällä French Group, jotka ovat propoutuneet opensausalternatioita suomalaiset online-platformatioita. Tällä asioita minä sanoin, että yksi kokemme tämän, joka on ekonominen ääni, jossa minä sanoin. what does this mean, it means economic fairness means, it means things like do we have an equal possibility to participate in the data economy, can we access the means to participate and are the benefits that are gained from data kind of fairly distributed among those who are interested in them. And there's kind of two ways to look at these issues of fairness, you can look at the individuals and say that they do not get enough for what they give up. Or you can look at the issues on a kind of a business or societal level and say that data is an important resource and it's been monopolized by a few large actors and that's not fair either. So how to respond to these questions? One way you can respond to this is to say that if the benefits are not fairly distributed, we can prevent the data collection and let's not have that at all. So you can use DuckDuckGo instead of Google, you can delete your Facebook account, you can use all sorts of ad blockers which have been called the largest consumer boiget in the history and you can try to completely hide your digital trails like using the Tor browser. But of course you are also missing out the good things, the services that you get when you delete Facebook and you don't use Facebook anymore. Even though that data might be used in some harmful ways, it's at the same time it's not used enough, so we are kind of missing out because it's not used enough because it's monopolized by some companies. There's a proposition called MyData or called a number of names but for example MyData, which seems to be kind of the converging term at the moment. So the idea is for this system to be fair, let everyone decide for themselves where the data is used and how it is transferred between firms and then kind of essentially you let the markets do the work of that. So if I can say where my data should be used, data collected by some specific firm for example, so it should be used by that other firm as well, so then the market will provide me all kinds of nice services. This of course involves technology development and there are various small examples of this and one type of example that there is is called personal data spaces and the idea here is that you have a kind of a private server or data account into which you accumulate all your data from different places using the GDPR for example and some data portability rights that you have there and then you can decide what data to share and to whom and kind of form your own terms and conditions on the data use and then you get to be an intermediary between different kinds of service providers. For example to use if you looked at the previous presentation here, there was the idea of example of the smart home, so for example in the smart home case you would be able to redirect the data you have from the smart home providers and use that for example redirect it to a electricity company for some billing purposes or something like that. So kind of something that doesn't happen at the moment anyway. But there's kind of, you would say that this kind of main drawback in this idea is that they kind of place the burden on the individual and one, what I mean by this and why it's a good, it's not such a good thing necessarily. It comes from the Cambridge Analytica case. I bet everyone has heard something about that. So there's a kind of a small nuance there was that some of the data that Cambridge Analytica was using was collected by a researcher at the Cambridge University by a Facebook app that and an associated questionnaire or a survey and the app collected the Facebook data and the survey data and the user who participated in that got something like few dollars for doing that. So you get kind of answer a few questions, give your Facebook data and get some money for that. So all good right. But now we are discussing how this or did these individual data decisions have an effect on the US presidential election something that you couldn't really be considering when you were doing that decision. So who could foresee something like that. In summary you could say that it's really difficult to make decisions or your data or do it in the right way and these privacy decisions may be collectively really harmful as well. Of course one way to move forward here is to say that these personal data spaces would be new kinds of services that give you kind of more information, more knowledge, develop better services to make those kinds of decisions and undoubtedly lots can be done here. But however I think we should also kind of reframe the question a bit, this who gets to benefit from data. And where we could use these kinds of services is to increase the bargaining power we all have or currently don't have but could have against the big platform providers kind of leverage dependence of these platforms from us as their data sources. So let's say the personal data space would be a bargaining agent like think like a labor unions who barkain on behalf of all the laborers against the employers and coordinate kind of the actions of the laborers. So in a similar way here or think of coordinated boycotts or think of carrot mobs if you know what that is kind of an opposite of a boycott. So redirect users to certain kinds of uses that are thought to be beneficial, certain kinds of services. A second step here a bit further would be to talk about not about bargaining but of governance. In a sense you could use the personal data space that I give you an example of. It could kind of set rules that limit the kind of data use we as the users of the service find unacceptable and promote the kinds that we find acceptable. So it would be not my personal terms and conditions but our terms and conditions as a collective thing. We could for example say that certain uses of data are off limits and but some kind of uses could be okay. And one way to think about what this could mean is given by the philosopher Luciana Floridi, who gives an example of the kind of my body and how it's in most situations not okay. It's unacceptable to trade some parts of my body but some pieces of my body can't be traded like the hair but like internal organs no. So should we think some information in a similar way. Then the third and final thing is to use these personal data space services as aggregating personal data for data commons. So data that is currently at the hands of firms only it could be aggregated as a common like pool the data and then certain kinds of service providers could access that like public interest companies or researchers or whatever or businesses if that's what we agree on. And then those data could be used for the benefit of the common good of the people and not for the benefit of the individuals as such. There are some examples of this like for example in the smart city domain there's the idea that there's the smart city data commons for the benefit of the citizens or in the case of health data some patients groups have been pulling their data in this way. So instead of thinking about my data for my benefit you could kind of think of it as a collective benefit as a design target for these services. So my question in the beginning was kind of a bit leading one. I think we could look at it in a different way to move forward like reframe it a bit instead of asking how can I benefit from my data. We could ask how can we benefit from our data and think of the economic fairness question in terms of the collective rather than the individual. Thank you.