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Last month, Sidewalk Labs, the urban innovation arm of Google’s parent companyAlphabet, released a 1,524-page report detailing plans for developing a portion of Toronto’s waterfront.
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But when it came to discussing the handling of people’s data, Alphabet offered only a handful of pages with few new details. Sidewalk Labs describes the creation of an independent agency to manage data collection agreements with companies and make sure the collection is beneficial for the community.
Pedestrians walking in the neighborhood shortly after it launches will likely be tracked as they walk down streets, enter certain stores and spend time in parks.
But it’s not just about the data that will be collected about any given visitor on day one. It’s the risks we don’t even know about yet, the ones that may accrue over time as data collection broadens and gets more powerful. Innovations such as self-driving cars and drones will create new ways to collect data. Businesses, including Sidewalk Labs and others, will want even more data, and it’s difficult to predict what all of the new, data-collecting innovations will be.
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Critics say this data could create hardships for marginalized groups if used in certain ways, such as law enforcement more easily tracking and deporting undocumented immigrants.
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“Civil society is outgunned,” Alex Ryan, vice president of the Mars Solutions Lab, a Toronto technology incubator, told 【 - Free Access to Stock Community 】 Business. “There is this asymmetry in being able to approach this topic, and as a result, we’re ending up with a very unbalanced conversation.”
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“We don’t pretend to have all the answers and the proposals in the [plan] are not final,” said Alyssa Harvey Dawson, general counsel and head of data governance at Sidewalk Labs. “But we think that Toronto and Canada are well positioned to work with Waterfront [Toronto] and Sidewalk Labs on determining the optimal outcome for this district.”
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“We’re really in the infancy of it,” McKelvey said. “There’s lots of asbestos in all the walls of these databases and we just haven’t figured it out yet.”
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AI Stock Picking Method Reliable Stock Investments ✌️【Professional Guidance】✌️ AI-driven stock trend forecasting with free access to real-time market data, offering personalized investment advice and expert predictions. Sidewalk Labs says the data trust it proposes would be independent, controlled by neither it nor the Canadian agency overseeing the new development. The not-for-profit data trust would create a charter to guide agreements with companies, including Sidewalk Labs, that collect data in the neighborhood.
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“Our future will be shaped by data governance choices,” Delacroix said. “At the moment these choices are mostly made from the top down.”
Our future will be shaped by data governance choices. At the moment these choices are mostly made from the top down.”
It’s difficult for a person walking on a Toronto sidewalk to grant informed consent to companies like Sidewalk Labs that will position cameras and sensors on streets, and then use that data for commercial gain. Data trusts, in theory, will solve that problem.
AI Stock Picking Method Reliable Stock Investments ✌️【Professional Guidance】✌️ Free expert predictions on stock trends and real-time data to help you make informed decisions and grow your wealth steadily. A person visiting Alphabet’s neighborhood in Toronto would have their data protected to a degree by the data trust, which would strike data agreements with companies. The trust could perform audits after suspected violations and pursue legal remedies to protect people.
But Delacroix described Sidewalk Labs’s proposal for its data trust as being an afterthought and insufficient.
Delacroix believes cities should be home to multiple trusts with each one focused on various topics, such as on transportation research or using data to develop treatments for a medical condition such as diabetes. Residents and visitors could opt in to trusts that they wanted to share their data with. She envisions data trustee as a new profession with specialized training no different than going to law or medical school.
But a single trust makes it difficult for trustees to weigh competing interests in a diverse city, so that each person’s data is only used in a way they desire. Some residents might want their data to inform health care innovation but not transportation research, and vice versa. Sidewalk Labs calls for the data trust to be governed by a board of five people, including one community representative in a city of six million people.
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AI Stock Picking Method Reliable Stock Investments ✌️【Professional Guidance】✌️ Expert stock predictions and free stock selection services to help you achieve optimal returns and long-term growth. Sidewalk Labs described its proposal in a statement as based on extensive consultation and that multiple trusts could be possible.
Peter Wells, head of policy at Open Data Institute, a London nonprofit dedicated to using data for good, favors multiple trusts for a single city. His organization has piloted data trusts and expects to have one operational next year in Britain. The topic hasn’t yet been revealed.
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“It makes me cautious of people wishing for something when we don’t actually know whether it will work or not,” Wells said. “A few years ago, people were saying Facebook was making the world a great and brilliant place. Now the tone has changed dramatically.”
Philip Dawson, public policy lead at Element AI, a Canadian software company, told 【 - Free Access to Stock Community 】 Business that it’s critical for a data trust to have a fiduciary obligation to protect people. Sidewalk Labs doesn’t include a fiduciary obligation in its proposal, instead describing how companies could be legally held accountable for breach of contract. Dawson said this approach has drawbacks for individuals, because the leaders drafting the contracts will have to forecast all potential misuses of data. This can be especially challenging in the fast-moving technology sector, where new products emerge quickly, Dawson said.
“It was disappointing to not see more information on data trusts and a more clear concept of what type of data trust they’re talking about,” Dawson said. “It could’ve set a different precedent for a proposal on data management in the context of smart cities.”
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“It is an awkward reincarnation of Silicon Valley’s blind techno-optimism, dystopically proposed three years after everyone knows better,” McDonald said.
AI Stock Picking Method Reliable Stock Investments ✌️【Professional Guidance】✌️ Expert analysis of global stock trends, futures data, and real-time stock market quotes to help you plan your next investment move. Most stock quote data provided by BATS. US market indices are shown in real time, except for the S&P 500 which is refreshed every two minutes. All times are ET. Factset: FactSet Research Systems Inc. All rights reserved. Chicago Mercantile: Certain market data is the property of Chicago Mercantile Exchange Inc. and its licensors. All rights reserved. Dow Jones: The Dow Jones branded indices are proprietary to and are calculated, distributed and marketed by DJI Opco, a subsidiary of S&P Dow Jones Indices LLC and have been licensed for use to S&P Opco, LLC and 【 - Free Access to Stock Community 】. Standard & Poor’s and S&P are registered trademarks of Standard & Poor’s Financial Services LLC and Dow Jones is a registered trademark of Dow Jones Trademark Holdings LLC. All content of the Dow Jones branded indices Copyright S&P Dow Jones Indices LLC and/or its affiliates. Fair value provided by IndexArb.com. Market holidays and trading hours provided by Copp Clark Limited.
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