update of intro with apple's credit card bias

This commit is contained in:
mhjensen
2019-11-19 06:51:26 +01:00
parent ab241aa0f4
commit 02be4a2e87
9 changed files with 1715 additions and 83 deletions
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@@ -108,7 +108,7 @@ end of tocinfo -->
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Aug 13, 2019</h4></center> <!-- date -->
<center><h4>Nov 19, 2019</h4></center> <!-- date -->
<br>
<p>
</div> <!-- end jumbotron -->
@@ -424,19 +424,21 @@ the likelihood of surving a collision with our future citizens, is
much higher.
<p>
This leads to serious ethical aspects. Why should we
opt for such an option? Who decides and who is entitled to make such
choices? Keep in mind that many of the algorithms you will encounter in
this series of lectures or hear about later, are indeed based on
simple programming instructions. And you are very likely to be one of
the people who may end up writing such a code. Thus, developing a
sound ethical attitude to what we do, an approach well beyond the
simple mechanistic one of making our science available and
reproducible, is much needed. The example of the self-driving cars is
just one of infinitely many cases where we have to make choices. When
you analyze data on economic inequalities, who guarantees that you are
not weighting some data in a particular way, perhaps because you dearly want a
specific conclusion which may support your political views?
This leads to serious ethical aspects. Why should we opt for such an
option? Who decides and who is entitled to make such choices? Keep in
mind that many of the algorithms you will encounter in this series of
lectures or hear about later, are indeed based on simple programming
instructions. And you are very likely to be one of the people who may
end up writing such a code. Thus, developing a sound ethical attitude
to what we do, an approach well beyond the simple mechanistic one of
making our science available and reproducible, is much needed. The
example of the self-driving cars is just one of infinitely many cases
where we have to make choices. When you analyze data on economic
inequalities, who guarantees that you are not weighting some data in a
particular way, perhaps because you dearly want a specific conclusion
which may support your political views? Or what about the recent
claims that a famous IT company like Apple has a sexist bias on the
their recently <a href="https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/" target="_self">launched credit card</a>?
<p>
We do not have the answers here, nor will we venture into a deeper
@@ -132,7 +132,7 @@ td.padding {
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>&nbsp;<br>
<center><h4>Aug 13, 2019</h4></center> <!-- date -->
<center><h4>Nov 19, 2019</h4></center> <!-- date -->
<br>
<h2 id="___sec0">Introduction </h2>
@@ -457,19 +457,21 @@ the likelihood of surving a collision with our future citizens, is
much higher.
<p>
This leads to serious ethical aspects. Why should we
opt for such an option? Who decides and who is entitled to make such
choices? Keep in mind that many of the algorithms you will encounter in
this series of lectures or hear about later, are indeed based on
simple programming instructions. And you are very likely to be one of
the people who may end up writing such a code. Thus, developing a
sound ethical attitude to what we do, an approach well beyond the
simple mechanistic one of making our science available and
reproducible, is much needed. The example of the self-driving cars is
just one of infinitely many cases where we have to make choices. When
you analyze data on economic inequalities, who guarantees that you are
not weighting some data in a particular way, perhaps because you dearly want a
specific conclusion which may support your political views?
This leads to serious ethical aspects. Why should we opt for such an
option? Who decides and who is entitled to make such choices? Keep in
mind that many of the algorithms you will encounter in this series of
lectures or hear about later, are indeed based on simple programming
instructions. And you are very likely to be one of the people who may
end up writing such a code. Thus, developing a sound ethical attitude
to what we do, an approach well beyond the simple mechanistic one of
making our science available and reproducible, is much needed. The
example of the self-driving cars is just one of infinitely many cases
where we have to make choices. When you analyze data on economic
inequalities, who guarantees that you are not weighting some data in a
particular way, perhaps because you dearly want a specific conclusion
which may support your political views? Or what about the recent
claims that a famous IT company like Apple has a sexist bias on the
their recently <a href="https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/" target="_blank">launched credit card</a>?
<p>
We do not have the answers here, nor will we venture into a deeper
@@ -68,7 +68,7 @@ end of tocinfo -->
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Aug 13, 2019</h4></center> <!-- date -->
<center><h4>Nov 19, 2019</h4></center> <!-- date -->
<br>
<h2 id="___sec0">Introduction </h2>
@@ -382,19 +382,21 @@ the likelihood of surving a collision with our future citizens, is
much higher.
<p>
This leads to serious ethical aspects. Why should we
opt for such an option? Who decides and who is entitled to make such
choices? Keep in mind that many of the algorithms you will encounter in
this series of lectures or hear about later, are indeed based on
simple programming instructions. And you are very likely to be one of
the people who may end up writing such a code. Thus, developing a
sound ethical attitude to what we do, an approach well beyond the
simple mechanistic one of making our science available and
reproducible, is much needed. The example of the self-driving cars is
just one of infinitely many cases where we have to make choices. When
you analyze data on economic inequalities, who guarantees that you are
not weighting some data in a particular way, perhaps because you dearly want a
specific conclusion which may support your political views?
This leads to serious ethical aspects. Why should we opt for such an
option? Who decides and who is entitled to make such choices? Keep in
mind that many of the algorithms you will encounter in this series of
lectures or hear about later, are indeed based on simple programming
instructions. And you are very likely to be one of the people who may
end up writing such a code. Thus, developing a sound ethical attitude
to what we do, an approach well beyond the simple mechanistic one of
making our science available and reproducible, is much needed. The
example of the self-driving cars is just one of infinitely many cases
where we have to make choices. When you analyze data on economic
inequalities, who guarantees that you are not weighting some data in a
particular way, perhaps because you dearly want a specific conclusion
which may support your political views? Or what about the recent
claims that a famous IT company like Apple has a sexist bias on the
their recently <a href="https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/" target="_blank">launched credit card</a>?
<p>
We do not have the answers here, nor will we venture into a deeper
+16 -14
View File
@@ -73,7 +73,7 @@ end of tocinfo -->
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Aug 13, 2019</h4></center> <!-- date -->
<center><h4>Nov 19, 2019</h4></center> <!-- date -->
<br>
<h2 id="___sec0">Introduction </h2>
@@ -387,19 +387,21 @@ the likelihood of surving a collision with our future citizens, is
much higher.
<p>
This leads to serious ethical aspects. Why should we
opt for such an option? Who decides and who is entitled to make such
choices? Keep in mind that many of the algorithms you will encounter in
this series of lectures or hear about later, are indeed based on
simple programming instructions. And you are very likely to be one of
the people who may end up writing such a code. Thus, developing a
sound ethical attitude to what we do, an approach well beyond the
simple mechanistic one of making our science available and
reproducible, is much needed. The example of the self-driving cars is
just one of infinitely many cases where we have to make choices. When
you analyze data on economic inequalities, who guarantees that you are
not weighting some data in a particular way, perhaps because you dearly want a
specific conclusion which may support your political views?
This leads to serious ethical aspects. Why should we opt for such an
option? Who decides and who is entitled to make such choices? Keep in
mind that many of the algorithms you will encounter in this series of
lectures or hear about later, are indeed based on simple programming
instructions. And you are very likely to be one of the people who may
end up writing such a code. Thus, developing a sound ethical attitude
to what we do, an approach well beyond the simple mechanistic one of
making our science available and reproducible, is much needed. The
example of the self-driving cars is just one of infinitely many cases
where we have to make choices. When you analyze data on economic
inequalities, who guarantees that you are not weighting some data in a
particular way, perhaps because you dearly want a specific conclusion
which may support your political views? Or what about the recent
claims that a famous IT company like Apple has a sexist bias on the
their recently <a href="https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/" target="_blank">launched credit card</a>?
<p>
We do not have the answers here, nor will we venture into a deeper
+16 -14
View File
@@ -10,7 +10,7 @@
"<!-- Author: --> \n",
"**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
"\n",
"Date: **Aug 13, 2019**\n",
"Date: **Nov 19, 2019**\n",
"\n",
"Copyright 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
"\n",
@@ -317,19 +317,21 @@
"the likelihood of surving a collision with our future citizens, is\n",
"much higher.\n",
"\n",
"This leads to serious ethical aspects. Why should we\n",
"opt for such an option? Who decides and who is entitled to make such\n",
"choices? Keep in mind that many of the algorithms you will encounter in\n",
"this series of lectures or hear about later, are indeed based on\n",
"simple programming instructions. And you are very likely to be one of\n",
"the people who may end up writing such a code. Thus, developing a\n",
"sound ethical attitude to what we do, an approach well beyond the\n",
"simple mechanistic one of making our science available and\n",
"reproducible, is much needed. The example of the self-driving cars is\n",
"just one of infinitely many cases where we have to make choices. When\n",
"you analyze data on economic inequalities, who guarantees that you are\n",
"not weighting some data in a particular way, perhaps because you dearly want a\n",
"specific conclusion which may support your political views?\n",
"This leads to serious ethical aspects. Why should we opt for such an\n",
"option? Who decides and who is entitled to make such choices? Keep in\n",
"mind that many of the algorithms you will encounter in this series of\n",
"lectures or hear about later, are indeed based on simple programming\n",
"instructions. And you are very likely to be one of the people who may\n",
"end up writing such a code. Thus, developing a sound ethical attitude\n",
"to what we do, an approach well beyond the simple mechanistic one of\n",
"making our science available and reproducible, is much needed. The\n",
"example of the self-driving cars is just one of infinitely many cases\n",
"where we have to make choices. When you analyze data on economic\n",
"inequalities, who guarantees that you are not weighting some data in a\n",
"particular way, perhaps because you dearly want a specific conclusion\n",
"which may support your political views? Or what about the recent\n",
"claims that a famous IT company like Apple has a sexist bias on the\n",
"their recently [launched credit card](https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/)?\n",
"\n",
"We do not have the answers here, nor will we venture into a deeper\n",
"discussions of these aspects, but we want you think over these topics\n",
Binary file not shown.
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+15 -13
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@@ -295,19 +295,21 @@ opt for the hitting the small folks instead of the monstertruck, since
the likelihood of surving a collision with our future citizens, is
much higher.
This leads to serious ethical aspects. Why should we
opt for such an option? Who decides and who is entitled to make such
choices? Keep in mind that many of the algorithms you will encounter in
this series of lectures or hear about later, are indeed based on
simple programming instructions. And you are very likely to be one of
the people who may end up writing such a code. Thus, developing a
sound ethical attitude to what we do, an approach well beyond the
simple mechanistic one of making our science available and
reproducible, is much needed. The example of the self-driving cars is
just one of infinitely many cases where we have to make choices. When
you analyze data on economic inequalities, who guarantees that you are
not weighting some data in a particular way, perhaps because you dearly want a
specific conclusion which may support your political views?
This leads to serious ethical aspects. Why should we opt for such an
option? Who decides and who is entitled to make such choices? Keep in
mind that many of the algorithms you will encounter in this series of
lectures or hear about later, are indeed based on simple programming
instructions. And you are very likely to be one of the people who may
end up writing such a code. Thus, developing a sound ethical attitude
to what we do, an approach well beyond the simple mechanistic one of
making our science available and reproducible, is much needed. The
example of the self-driving cars is just one of infinitely many cases
where we have to make choices. When you analyze data on economic
inequalities, who guarantees that you are not weighting some data in a
particular way, perhaps because you dearly want a specific conclusion
which may support your political views? Or what about the recent
claims that a famous IT company like Apple has a sexist bias on the
their recently "launched credit card":"https://qz.com/1748321/the-role-of-goldman-sachs-algorithms-in-the-apple-credit-card-scandal/"?
We do not have the answers here, nor will we venture into a deeper
discussions of these aspects, but we want you think over these topics