A Quote by Kate Crawford
We urgently need more due process with the algorithmic systems influencing our lives. If you are given a score that jeopardizes your ability to get a job, housing, or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.
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We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
We urgently need a paradigm shift in our concept of the purposes and practices of education. We need to leave behind the concept of education as a passport to more money and higher status in the future and replace it with a concept of education as an ongoing process that enlists the tremendous energies and creativity of schoolchildren in rebuilding and respiriting our communities and our cities now, in the present.
Our young people need safe, permanent housing, so they can focus on their education or job, live healthy lives, and pursue their interests - without fear of where they'll sleep at night.
When somebody shows up at your job and jeopardizes your job, yelling and screaming, that's financial abuse. It threatens your ability to take care of yourself.
We must return immigration to a logical, orderly process where people fill out their applications and wait for approval. We must make sure illegal immigrants stop storming our borders. We must establiesh the correct criteria, such as our need for certain job skills or education, for granting the right to immigrate into the United States.
As we get more transparent with data sets about infrastructure and systems management, I have a feeling we'll see big changes in how we think about complexity and our relationship to our actions.
We should have equivalent due-process protections for algorithmic decisions as for human decisions.
You know, it's not more knowledge, it's not more education, it's not more facts that we need. It's a better use of what we already have that we need to have. You have each and every one of you, within your potential power right now to do a wonderful job in your chosen field - if you would only embrace it and use it.
Disruptive technology is a theory. It says this will happen and this is why; it's a statement of cause and effect. In our teaching we have so exalted the virtues of data-driven decision making that in many ways we condemn managers only to be able to take action after the data is clear and the game is over. In many ways a good theory is more accurate than data. It allows you to see into the future more clearly.
We should have companies required to get the consent of individuals before collecting their data, and we should have as individuals the right to know what's happening to our data and whether it's being transferred.
I should care about the education a child in Philadelphia, or Pittsburgh, or Erie, or Scranton received because if they didn't get a good education my life is diminished and all of our lives are enhanced if they get that good education. It is a shared enterprise and we need to recognize that.
Pro-choice and pro-life activists live in different worlds, and the scope of their lives, as both adults and children, fortifies them in their belief that their own views on abortion are the more correct, the more moral, and more reasonable. When added to this is the fact that should 'the other side' win, one group of women will see the very real devaluation of their lives and life resources, it is not surprising that the abortion debate has generated so much heat and so little light.
We know everything about what you know and how you learn best because we get so much data. And education is the highest-stakes media product in your life. It's infinitely more important than your Facebook friends' status updates or your Google search results because it's your future.
Personal responsibility is not only recognizing the errors of our ways. Personal responsibility lies in our willingness and ability to correct those errors individually and collectively.
Every person in this country who has the desire and ability should be able to get all the education they need regardless of the income of their family. This is not a radical idea. In Germany, Scandinavia and many other countries, higher education is either free or very inexpensive. We must do the same.
Data-driven predictions can succeed-and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves.
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