<ul>
  <li>You are the data analyst that helps build a nearly-perfect targeted ad platform that powers a billion-dollar business. But then foreign hackers use it to influence a presidential campaign and attack a representative democracy.</li>
  <li>You write a machine-learning spell-check algorithm, the best in the world and deployed globally. But one day it auto-corrects some prescription drug names into different drug names, causing harm to innocent people.</li>
</ul>
<p>The point of examples like these are not to blame the technology or it’s makers. The point is to illustrate the responsibility we bear for what we make. As Cooper says in his talk, we move forward not just by patching holes in current technology, but by preventing these kinds of abuses from being an option in future technology.</p>

        <ul>
            <li>You are the data analyst that helps build a nearly-perfect targeted ad platform that powers a billion-dollar business. But then foreign hackers use it to influence a presidential campaign and attack a representative democracy. You write a machine-learning spell-check algorithm, the best in the world and deployed globally. But one day it auto-corrects some prescription drug names into different drug names, causing harm to innocent people.</li>

            <li>The point of examples like these are not to blame the technology or it’s makers. The point is to illustrate the responsibility we bear for what we make. As Cooper says in his talk, we move forward not just by patching holes in current technology, but by preventing these kinds of abuses from being an option in future technology.</li></ul>