13 %Solutions (AVS) WinVote voting machine, after concluding that it was insecure. |
13 %Solutions (AVS) WinVote voting machine, after concluding that it was insecure. |
14 %This talk presents the results of Virginia's analysis of the WinVote, and |
14 %This talk presents the results of Virginia's analysis of the WinVote, and |
15 %explores how we got to the point where a voting machine using an unpatched |
15 %explores how we got to the point where a voting machine using an unpatched |
16 %version of Windows XP from 2004, using hardwired WEP keys and administrator |
16 %version of Windows XP from 2004, using hardwired WEP keys and administrator |
17 %passwords, could be used for over a decade in most of Virginia. |
17 %passwords, could be used for over a decade in most of Virginia. |
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19 %% second angle of the problem |
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20 %Jonathan Zittrain is interested in algorithmic accountability, |
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21 %from Facebook’s ability to tell that two people are in a |
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22 %relationship before they announce it, to their ability to |
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23 %engineer an election by prompting one side’s supporters. |
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24 %They’d be in the soup if they were caught, but they have been |
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25 %near the soup a number of times. One internal meeting had the |
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26 %question “What responsibility does FB have to prevent |
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27 %President Trump?” That has repudiated once leaked, but the age |
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28 %of innocence is behind us. Back in 2005 Google apologised when |
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29 %the hate site “jew watch news” appeared in search results for |
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30 %“jew”; but the site has morphed from tool to friend. |
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31 %Facebook’s M and Apple’s Siri are the same. This leads |
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32 %Jonathan to the idea of “information fiduciaries” whereby the |
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33 %big firms would have to put user welfare first like doctors or |
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34 %lawyers. Should Google tell you to vaccinate your child? |
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35 %Already in Europe they suppress hate speech and promote |
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36 %counter-narratives. To whom does Uber owe a fiduciary duty – |
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37 %the driver or the passenger? And should data scientists join |
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38 %divines, medics, lawyers and surveyors as a learned |
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39 %profession? |
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21 \section*{Handout 2 (E-Voting)} |
43 \section*{Handout 2 (E-Voting)} |
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44 |