 What do you see when you imagine the future? When we picture what's to come, we often think of innovations that take us to new heights. Some of them are already here. And every day, thousands more make the jump from our imagination into reality. Nowhere is this more evident than here in Japan. Earth industrial revolution technologies are fundamentally transforming the way we do things. All this is happening so fast and we must do more than just keep up. These emerging technologies open up boundless possibilities of what our future could look like. Technology is not a simple solution to our problems. It poses questions that we need to answer and guidelines we need to write together. That's why we're all here. A global event hosted by Japan that brings together the world's leading voices across disciplines and geographies. How technology will shape our tomorrow depends on the choices we make today. And that starts now. Hi there and welcome everyone to a very important panel today on shaping the future of the data economy. And the stats show that by 18 years old, a person is defined by at least 70,000 data points. And the data generated about us and harness by technology is deeply connected with our lived personhood. And how we think about managing the trust and people side and technology and governance side of this new trend of personalization is what we're going to be talking about today. And we have such an amazing set of panelists joining me today. My name is Kabir. I'm the CEO of One Trust. And we have a broad set of perspectives that are going to be sharing their experience with all of you today, both from private sector and public sector as well. And so we're joined by Francesca Spattoli-Sano, the Assistant Secretary General at the Department of Economic and Social Affairs, and Officer-in-Charge of the Office of Secretary General's Envoy on Technology for the United Nations. Welcome Francesca. We're also joined by Jen Drew Scott, the Executive Chairman of the Commons Project. Hi Jen, welcome. Hi Kabir. And we also have Juan Sebastian, the Digital Innovation Secretary of Medellin, Colombia. Hi there Juan. Hi there, thank you very much. And Joanne Stone here, the Chief Data Officer of MasterCard. Hey Joanne. Hi Kabir. And so we have such an interesting dialogue planned for everyone today. And before we get into the dialogue portion of this session, I wanted to pose a quick initial framing question to our panelists today. And the question for all of you is given your respective professional roles, your expertise in data policy. From your perspective, how do we ensure that technology is developed in the interest of people around the world? When a lot of the perspective at the table might be in the interest of the company or the government? And so how do we make sure that people's interests are taken into account and what are some of the potential best practices that you can share from your respective experience and organizations working with data? Joanne, maybe you can kick us off today. Sure and be happy to. So at MasterCard we have our data responsibility principles, which really begin with the idea that we are always designing our products and solutions with individuals at the center of our design. And so we believe that individuals own their own data, they should control their own data, that they should understand the benefits that they should derive from our products and solutions, and that they have the right to privacy and security. And so really if you think about it, people-centered design of all products and solutions in technology really has to be the cornerstone of any good product that's going to be based in data and technology, especially as you think about the kinds of innovation that we're doing today and the way that we have to design for society going into the future. While we're a company, yes, that sells products and solutions, most of our products and solutions really are all about individuals and making their lives safe, simple and smart. Thanks for that, Joanne. Yeah, I love the concept of the data responsibility principles. And I'm assuming that ties back to your company values and mission and it's very consistent throughout the organization. Absolutely, absolutely. And it really goes back to how do we want to design our products and solutions, right? Yeah. We're going to use data in an accountable manner. We're going to be transparent about our data practices. We're going to design with integrity. And we're going to innovate in ways that are going to ensure that we're innovating in ways that encourage privacy, that encourage security, and then also really make sure that we're also thinking about practices that really make sure that we're also navigating social innovation, right? And in the era that we've all just lived through with COVID, right? How do we responsibly navigate data ecosystems so that we can have positive social impact? Yeah, amazing. And a lot of the work I know, Joanne, you've done at MasterCard. You've published a lot out there and I've always enjoyed following your work. And so thanks for sharing that. Juan Sebastian, how about from more of a public sector and international perspective? What's your perspective on this question? Well, since 2018, four cities from Latin America got together and they saw that there's a lack of trust in our government. So we need to make sure that the data are secure and increase trust in public institutions. We must make sure to bring public policies that will deliver the services based on trust and security. Digital services, whether they are public or private, must give a clear and precise transparent policy on data, which is audited. I'm in charge of auditing the information of the state. And with our strategy in Medellin, we have a platform where citizens gave us their data so that we can support them in terms of food and health during the pandemic. And we wanted to make sure that our citizens could choose how their data could be shared and what for. And this gives us a consolidated vision of information. In 2018, we want to make sure that we have secure and enough management of data, whether they're automated or not, but we need security and privacy of information for a transparent government. In the future, we want to have an open dialogue on different knowledges, talking with different players, and so that citizens may have a knowledge of the whole territory in a collective way. It makes a lot of sense. And some of the things that the starting point for creating these services and the barrier you have to overcome just by default that as a nature of who you are, I think is a really interesting challenge. And you talked about clear, precise, transparent policies on data, but what really jumped out of me was auditing that those policies and that transparency and then involving multiple stakeholders in that process. Did I summarize that right on Sebastian? Perfect. Yes, that was the main challenge during pandemic generate trust in our citizens so that they would give us that data, and so that we could support them in an opportune way, thanks to that data. Wonderful. Jen, from your perspective, can you share your experience on this topic. Thank you. 80% of the data floating around the world that created by individuals and majority of this data really controlled by four companies in the US and two companies in China. So there's a very clear inequality and that equality has cost a lot of not only the economic problems but also social societal problem and for individual. As we are creating this very important, very valuable resource for a handful of your companies, we actually don't have a lot of options in terms of controlling only your data. I think that digital economy 1.0 have this very concentrated data ownership in very handful of your companies in the world is broken. So, obviously in the world there are a lot of legislations and regulators are very focused on top down approach. I'm more interesting. In addition to that top down approach, what is the bottom up approach? There are two votes that number one is how do we create decentralized technology that to enable individual and power individual and put into people's hands. Secondly is in addition to technology, we all know this not only does the technology problem, there is a business model problem, there is a governance problem as well. So how do we create this kind of governance model that will enable and empower a digital service or digital infrastructure that's built and it's truly focused on serving the people. We all know the most powerful, most valuable part in a lot of those digital services is really the data. So if your profit and incentive is corporate incentive is focused on generating profit, then it's very hard to practice that value. So as a common project, we try to address this both issues. One is we established a non-profit, so there's no shareholder or venture capital investors holding us, pressuring us to sell individual data. Number two is, you know, this is a horrible global pandemic where we are working on building common paths, which is a digital wallet and digital passport for individuals to carry their COVID related health data. But that data is completely controlled and owned by individual. So I think it's very important to have a bottom up approach to empower individual truly from the tools, but also what is the incentive of the technology providers putting this kind of tools in the market. Thank you Kabir. Yeah, Jen, really interesting and the way you talk about the concentration problem of control of data and the societal impacts that have and taking a little bit of a leap, Jen, on what you said, knowing that so much of innovation is driven from AI and machine learning today, having those major data sets is a competitive advantage. These can create competition problems and antitrust issues and empowering that individual. You talked about what I'll call goal alignment, and there's maybe a fundamental bias in the business models where if you can layer in non-profits and more individual empowerment, some really interesting strategies you're working on at the Commons project. Did I understand that right? I would also add, you mentioned competitive advantage. I will argue that as we have more and more individuals realize how powerful the data we produce to how valuable the data we produce, I think it's a different form of competitive advantage when new generation of companies, organizations, building digital service and digital infrastructure, putting privacy and individuals' data ownership in the front and center, that will become a new form of competitive advantage as well. I'm a full believer in not just privacy and individual control, but trust is really the currency. We're starting to see buying patterns based on values, not just price and quality anymore, and so fully a believer in what you said and we've seen it in practice, Jen. Fascinating work that you're doing. Francesca, I'd love to hear your perspective on this. Yes, it's very interesting this conversation. We all address the same issues from our different perspective indeed. And let me say the United Nations Secretary General has issued his roadmap for digital cooperation in June 2020, so less than a year ago. And this presents a number of challenges and opportunities, of course, that these technologies offer to us today. And outlines the Secretary General's vision for a more equitable way to address an inclusive way to address the challenges and opportunities we're talking about. And in particular, it ends up with eight recommendations to advance cooperation in this area. And these include a digital inclusion, as I was saying, for those who don't have access or cannot afford the access or who have other reasons to be marginalized, but also focuses on human rights and online trust and security as we are talking as well as digital public goods and protection. Of course, we have seen how important it was during this pandemic to have the right data at the right time, for instance, to protect your health. So how topical is that? I would say what we consider this roadmap or this document as the framework for our action as the UN in this area. And one of the principles is that we want to approach it in a multi-stakeholder way. That is, referring to what Jen was saying, the different actors, the different interests, the different point of view, all have their role to play, all have to be there in this debate so that we come out with something which is more fair, equitable, and a balance of the interest in question. Obviously there is an economic dimension, the importance of the data economy for growth is obvious, but also the great impact that the data economy and the data technology can have for innovation, for social objectives, for sustainable development is very important and this is what we focus on, bridging the digital divide and the gap in, for instance, skillset and this kind of things. For us it's very important and as I said, the approach, the method is a multi-stakeholder approach so that everyone has a chance to have their views, their interests and their rights included. Thank you. Yeah, of course, and Francesca, it's wonderful to hear the work and the groundwork that the UN has already done in this area and it sounded like working hard to balance the positives in innovation, the social and sustainability goals and outcomes that can all be used as data and the need for the timeliness of data at the right time, for example, what we experienced with the pandemic with the human rights aspect and I think that was a theme we heard in everyone from Jen and Joanne and Juan Sebastian is everyone referred to the human rights in the right, I think Joanne, you started with the right of privacy and security and Jen and Juan Sebastian, you talked about it as really a fundamental right, not a privilege or not something that's an afterthought and it was great to see that consistency, Francesca. Francesca, for the audience, you referenced the document that the UN worked on, can you just share with the audience where they can find that document if they are interested in their own research? Sure, I will put it in the chat, it's in the UN web page, it's called the Road Vap for Digital Cooperation. Excellent. Perfect, thanks for that Francesca and the eight principles will all be in there for anyone to read. Okay, fantastic. And we are developing now these eight principles with a series of work streams which are, as I said, open to all those interested and so there is both the membership of the UN but also grassroots organizations, private companies, academia, everybody is included if they so wish to participate in these work streams. Wonderful, thanks for sharing that. So really interesting backgrounds and diversity of perspectives but we saw a lot of consistency in the themes and the approaches which was exciting to hear and so let's transition into the main dialogue I think this is going to be a really fun discussion and I would encourage all of you to jump in when you have the right thoughts and we'll keep it very free flowing and really we'll focus the discussion around four themes. The first, people first innovation, what is the role of technology in protecting the integrity of humanity? Not an easy topic so a lot I'm sure we can talk about there. The second topic, trust. What mechanism can we use to better manage data in our interactions with technology? How do we create that trusted relationship between technology and people? The third is responsible technology practices and in the midst of just a technology upheaval that impacts humanity, how do we fundamentally transform the way the economy and society is organized using data? And then fourth, empowering people, something that you all talked about as well, how do we take into account the individual, empower them knowing that their data can take very different forms. And so thinking about kind of how to approach some of these solutions is really what we'll have a discussion around and I will ask maybe one Sebastian for you to kick us off with some of your thoughts here. I would like to start by talking about people first innovation. People are at the center of innovation. Nowadays society sees how technology is everywhere, but this makes the digital divide greater. And we need to fight against that so that citizens may get the benefits promised by technology and to help a more equitable human development. And we need to have intelligent territories with the capacity to improve substantially the standard of life of inhabitants and bring solutions to solve the great challenges and generate public value. Knowledge and the innovative initiatives become an urgent need when we want to build an intelligent society that is deliberative and participative and that bets on technology to get that referred with expected results. In the Medellin City Hall, we look for different solutions. One of them is a system based on artificial intelligence to try and prevent teenage pregnancy for girls between 10 and 21 years old. We want to guarantee a high speed internet. That's why we have a project of a digital highway to bring high speed on the internet at a very low price to develop innovative project based on the fourth industrial revolution technology. We have an integrated system for monitoring food so that we reach kids with malnutrition and so that we arrive on time. So our city has developed a platform that has on during the pandemic that has become a tool to solve everyday challenges with regards to the ethical use of information. We have 3 million point seven individuals registered with 450,000 educative educational institutions and the platform combines data artificial intelligence with an application for a policy policy. For the police certification and some of our workers go from home to home to check the physical and mental health and we have artificial intelligence data analysis to get resource and see if the kid is not doing so well at school or if there may be an intra-family case of violence. First there are really important problems that are being tackled from malnutrition, economic divide, teen pregnancy, you mentioned physical and mental health as well. These are all really important problems and one of the things you talked about was the digital divide and access to high speed internet create broadens accessibility issues and broadens that divide and so both solving accessibility has to be part of the solution here. But you also talked about applicability of AI to do things like predicting pregnancy, predicting mental or physical health, predicting childhood development issues and so that also leads to some of the trust things you talked about earlier as well and auditing. So I would be interesting either just on your reaction or anyone else's reaction on what are some of the strategies to in an inherent world where it's governments are not trusted potentially in some situations. How do you continue to do these important critical initiatives and develop that trust? Is there some foundational strategy you're thinking about there? Well I may jump in. Please Francesca, yeah please. Well we believe that there are a few technical aspects as well as the political of course will and good actions that can help. Organizations should be transparent in how the data is used and provide clear and easy to use tools for the users. So that they understand data retention, data usage and also be specific about the preferences. On top of this external reviews and that was mentioned before of organizations data practices can instill a lot of confidence. On the government side of course the government should make every effort using both the legal and the technical means to ensure the privacy and the security of personal data. And this includes also instituting rigorous protocols for partnerships between government and businesses. Why partnership is important? Let me say nowadays something obvious but still very important data sources vary a lot and multiply by the day. There is no more one source of official data. There are data from everywhere. Some official and some private and more or less easy to ascertain the quality and the reliability not to mention the comparability of the data we have in general. So building partnerships is important because this way we can have a public and private organizations and institutions exchange data, work together, promote the publication of the data on each other's data portals, support each other and improve the level of reliability and so the trust that you can have in these organizations who collect and work with data. But also because we need to govern a little bit this complexity and so the more common principles we have I think the better for the user and for those who have an oversight. So you will need to invest in all this. Last thing of course, trust in data also comes in more general trust in government and as the speaker once about before me was saying if you deliver services in return I'm sure the citizens and people are more willing to share the data and trust that they will be used for the good and not for other purposes. I totally subscribe to what one Sebastian said. Wonderful. And one Sebastian I'll give you a chance to react before I turn it over to Jen and Joanne. Yeah, perfect. Thank you for that. I would like to add that, look, we don't have, we don't have data if people cannot access the digital services they cannot access the digital services if they don't have connectivity. So we are starting from the bottom up and the other way around. So we are providing connectivity, high quality connectivity to every single person of the city. We are giving a very big investment of connectivity to the people because there are areas here in Medellin that don't have internet at all because it's expensive because the mobile operators is not affordable for them so we are building an infrastructure which is called Neutral Infrastructure which is rented to the mobile operator which in terms provides services to the final user. We provide connectivity with the connectivity. We are going to give this year 100,000 computers to the children of the city and the goal is to arrive to one computer per child in the city. So we provide connectivity. We provide the mechanism to access the information through that connectivity and we collect data from the users through the digital services and we are providing services. We are providing, for example, we are showing every single week a new dashboard or what happened with the problems that are happening in the city. You know the food problems, you know, pregnancy in the children in the city. So we are providing this information so people is trusting the government is providing the data because they know we are using the data too for the benefit of them. Yeah, thanks for that one, Sebastian. And I think, Jen, I heard you wanting to jump in with the thought there. Yeah, actually, what Mayor Hawaiian Sebastian said was a great segue for what I want to talk about. We talk about trust. The trust is earned, trust is not given, and trust is not a destination. Once you're trusted, you are always trusted. In fact, quite the contrary, trust is actually very fragile. You have to constantly working towards this consistent trust. Think about Google and Facebook. When it first came out, it was so celebrated and look at Facebook today, it's completely different. So I think, you know, one thing Mayor Hawaiian Sebastian alluded to, and it's quite relevant to what we do as well. If we think about technology and data becomes a transformative force for our societies. And yet when we think about technology, most of the time are provided by large tech companies and often concentrated by this handful, you know, large tech companies. And sometimes technology provided by society or by governments. However, we're living in the world where a nation state and digital state, the boundaries don't neatly overlap with each other or align with each other. Often we're thinking about certain type of digital services or digital infrastructure. Perhaps we need a new type of institution to really provide this kind of global digital infrastructure as public good. And Kamal's project, the reason in the past few months, less than a year, when we try to pivot from providing Andrew version of Apple Health, for Kamal Health to provide health data interoperability between hundreds of different health providers in the US to pivot to provide common paths, which is provide this COVID related health data interoperability between different countries. And the momentum we generate in the past few months has been astonishing. And I think that kind of shows the world actually means a different kind of institution that viewed digital infrastructure doesn't belong to any of the large tech and perhaps doesn't belong to any of the government. And instead of being shared and, you know, owned by individuals regardless of your nationality. So I want to pose this as a kind of question to our audience and as well as to our panel, that if we think about, you know, walking down the street, there are restaurants and shops, they're supposed to compete with each other, maybe it's good to keep them commercial. But if the road also become commercial and each section of the road you walk, there are some venture capital investors or, you know, I feel return shareholder return requests need. To maximize the profit and that would be a very bad result. We probably have arrived the point to start to think about what kind of infrastructure and services that should be public and should be good. Yeah, I really like Jen kind of the thought provocative question you asked and thinking again consistent with your opening remarks on thinking about the incentives a goal alignment and thinking differently about new institutions and the interoperability. I think it's fascinating and Joanne I know this is something you've spent a lot of time thinking about and I've read a lot about things you've pioneered in the market around data trustees I would love to hear your perspective on what Jen just mentioned. Yeah, no, I think Jen makes a valuable point I think everybody's made some really interesting points because I do think we're at a really interesting time. When you think about the kind of innovation that has come out of Kobe right and then and really the cooperation that it is taken for us to navigate and the amount of data sharing it has taken, and the amount of trust actually that individuals have placed in in hospitals in health workers in scientists for us to come so quickly from a pandemic to vaccines, the use of AI, right, in finding solutions, the types of information that has been shared, the types of vaccine passports that Jen is talking about, and how all of that innovation have happened relatively quickly. And yes, there's been trust, but there's also been harm, right, we've we've watched a really wild ride I know see Jen's nodding now. We've watched a pretty wild ride around data and technology, and I do think that we are seeing some type of shift, and in the four questions or four areas that you pose to us could be or I do think that we're going to see some needed change happening for all of the players whether it's private enterprise, whether it is public government agencies, whether it is civil society organizations. I do think that we are all trying to understand what are our roles as individuals in trying to design the future with this resource called data and technology. What's the role, what's the responsible role, and how do we do it. And I do think that what we're coming to find is that we need more commonality, and we need more common platforms and career thank you for referring to all the work that we've done, but there's so much more to do right. So one of the things that I've been working we've been working on it MasterCard is how do you get a responsible data practices across an ecosystem we operate a payments ecosystem. How do we ensure that our payments ecosystem has responsible players. How do you ensure that data is accurate. Juan Sebastian talked about this a little bit. He also talked about how do you make sure that you're inclusive right, how do you make sure we discovered that if you don't have information about all of society right as you're making decisions, we see the inequities and we see that amplified in artificial intelligence right we see then miss information. I'm not talking even about data quality here I'm just talking about missing information when we talk about AI machine learning and then the result and impact of that. So there's a whole bunch of ecosystem pieces that I think we as a greater society, commercial enterprise, government, civil society, we have to begin to build right, we have to look at how do we improve data quality. How do we improve information sharing, how do we get to those information sharing standards, and how do we share information without it being personal information. So that individuals actually have a right to say yes it's okay for you to share my personal information, or no share some proxy information for us right instead. When do we synthetic information. How do we use privacy enhancing technologies. How do we do other types of methodologies. So I do think that we're coming up with some interesting alternatives and I do think all of us have a really interesting role to play in that. And I also think we're going to come up with different ways to describe the rights, as well as liabilities in society for all of that. But I think we're duped up a couple of a very different conversation as we look at all of the connectedness of all of the different parties and players, but I do think it goes back to trust. And I also think it goes back to view this in a way that's responsible. Yeah, and I think, Joanne, one of the themes I picked up on was how you talk about we're really at this inflection point and, and, you know, COVID and the pandemic has given us some really specific implementation examples almost created a forcing function of how interoperability works, how AI at scale, you know, just data across borders at major scale for good. But there are unintended consequences, I think we all see as well. Now, in just a couple of minutes, we're going to turn it over to Sheila to summarize the discussion for us, but I wanted to give everyone 45 seconds to just share some final remarks that you didn't get a chance to get across. Francesca, I'll start with you. Okay, thank you. Let me say I share what Joanne was saying about the accuracy of data, the inclusiveness, et cetera. What I would like to say is that there is room, we believe, for an even a demand for international principles in this area, which would be based on the greenhouse citizen data is utilized, stored, shared, so that you can protect fundamental human rights like privacy. And we have now different laws in different countries, this will multiply once again. But what is missing probably is a core set of principles so that these different existing national laws will respond to the same basic human rights principles and also will offer equal protection to all individuals wherever they are, wherever they happen to be. Thank you. Thanks for that Francesca. Jen, if you could summarize some maybe 30 seconds. I think, as mentioned earlier, go alignment is extremely important. We can have the nicely sounding policies, the most pleasant, you know, inspiring slogans by end of the day, if you don't have the right business model or right kind of a governance model to govern what you do and to shape the tools you're actually putting into people's hands. None of the slogans of policy is going to be useful. I have been saying this for probably two, three years now that we're hitting this inflection point from digital economy 1.0 to 2.0. I would like to highlight that in countries like China, India, both countries from different angles started to have this person-based data management system. One is through Indian stack and in China is through digital R&B, how to empower individuals to not only just owning their data but also have their economic value of the data being reflected in the ecosystem. This kind of bottom-up approach combining with the right governance structure is the future. One Sebastian, from the public authorities, we must generate well-being for citizens and we should focus on an integral benefit under the government's ruling. From the government, we've been working hard on having laws that will enable citizens to have a say on their data and its use. So from the Medellin city, we've wanted to offer security for citizens' data and they are able to modify them. And in Medellin, we want to use data to understand citizens so that we can meet their needs in a agile way but also respecting the principles that are security, safety, health, employment and education. We want to empower the citizens of Medellin with software so that Medellin becomes an innovation hardware and a hub. And we have invested more than ever in education and also to prevent malnutrition. Go ahead. Real quick, responsible data innovation is going to require all of us across the ecosystem to work together to find the right practices to do it in a way that navigates both the opportunity but also navigate the risk so that we can actually continue to share information in a way that helps us innovate the next generation of products and services for all people around the globe. Thanks for that, Joanne. And now to wrap us up, I'm very proud to introduce Sheila Warren who's the deputy head of the Center of the Fourth Industrial Revolution for the World Economic Forum. Sheila, over to you. Thanks so much, Kavir. And thank you so much to all of our panelists for this excellent conversation. One thing I think it's become really clear is that as we move through this inflection point caused in part by the pandemic, we're going to see a continuing equation of the concept of responsible innovation with the concept of empowering individuals and creating more agency in the data ecosystem. We're going to see more understanding that we have to be looking at existing inequities in society and creating policies that are addressing those inequities very deliberately. Because otherwise we're going to see continuing increase in the the haves and have nots when it comes to access the visual economy. Now here at the forum on the data policy platform and also on our Global Futures Council with Joanne co-chairs for us. We think a lot about these topics and we look at concepts such as empowered data societies. How do we actually pilot policy that can move towards a more empowered human element and within a data ecosystem. How do we think about the advent of data intermediaries, whether they're data trust or whether they're different sorts of data marketplaces that can actually provide again this more equitable allocation of risk and reward across the data ecosystem. And how do we really think about different kinds of policies that can come in in a more interconnected global way. We think a lot about the intersections of technology rather than kind of the silos we tend to disappear into whether those are cultural or geographic or even by sector. We start breaking down some of those barriers and silos and start working together and cooperating across these different divides to ensure that the practices that are working in one sector are brought over to other sectors as well. So with those concluding remarks I want to thank everyone today for joining us for this session. Stay tuned for other similar panels on throughout the course of the summit, whether it's on travel, whether it's in financial services and access on digital public goods. We're really looking forward to joining all the rest of you later and thank you again for your time today.