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you

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artificial<00:00:21.230><c> intelligence</c><00:00:21.320><c> has</c><00:00:22.070><c> historically</c>

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artificial intelligence has historically
 

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artificial intelligence has historically
been<00:00:22.640><c> a</c><00:00:22.760><c> science-fiction</c><00:00:23.480><c> term</c><00:00:23.960><c> and</c><00:00:24.140><c> one</c><00:00:24.230><c> of</c>

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been a science-fiction term and one of
 

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been a science-fiction term and one of
the<00:00:24.410><c> things</c><00:00:24.560><c> that's</c><00:00:24.680><c> really</c><00:00:24.860><c> exciting</c><00:00:25.310><c> is</c>

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the things that's really exciting is
 

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the things that's really exciting is
that<00:00:25.700><c> now</c><00:00:26.150><c> science</c><00:00:26.689><c> fiction</c><00:00:27.050><c> is</c><00:00:27.140><c> becoming</c>

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that now science fiction is becoming
 

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that now science fiction is becoming
science<00:00:27.710><c> fact</c><00:00:27.920><c> into</c><00:00:28.400><c> becoming</c><00:00:28.610><c> implemented</c>

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science fact into becoming implemented
 

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science fact into becoming implemented
reality<00:00:29.779><c> my</c><00:00:30.590><c> definition</c><00:00:31.070><c> of</c><00:00:31.099><c> artificial</c>

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reality my definition of artificial
 

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reality my definition of artificial
intelligence<00:00:31.640><c> is</c><00:00:32.270><c> it's</c><00:00:32.540><c> the</c><00:00:32.720><c> bar</c><00:00:32.930><c> just</c><00:00:33.260><c> beyond</c>

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intelligence is it's the bar just beyond
 

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intelligence is it's the bar just beyond
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the current state of the art of machine
 

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the current state of the art of machine
learning<00:00:35.590><c> specifically</c><00:00:36.590><c> to</c><00:00:36.710><c> what</c><00:00:36.739><c> we</c><00:00:37.040><c> do</c><00:00:37.160><c> a</c>

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learning specifically to what we do a
 

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learning specifically to what we do a
domino<00:00:37.640><c> data</c><00:00:37.820><c> lab</c><00:00:38.000><c> AI</c><00:00:38.270><c> is</c><00:00:38.420><c> the</c><00:00:38.690><c> set</c><00:00:38.870><c> of</c><00:00:38.960><c> things</c>

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domino data lab AI is the set of things
 

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domino data lab AI is the set of things
that<00:00:39.320><c> we</c><00:00:39.410><c> let</c><00:00:39.559><c> our</c><00:00:39.650><c> customers</c><00:00:39.800><c> train</c><00:00:44.650><c> yeah</c><00:00:45.650><c> so</c>

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that we let our customers train yeah so
 

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that we let our customers train yeah so
one<00:00:46.580><c> of</c><00:00:46.610><c> the</c><00:00:46.760><c> funding</c><00:00:47.030><c> characteristics</c><00:00:47.630><c> of</c><00:00:47.720><c> a</c>

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one of the funding characteristics of a
 

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one of the funding characteristics of a
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is that allows data scientist to answer
 

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is that allows data scientist to answer
questions<00:00:50.930><c> higher</c><00:00:51.110><c> up</c><00:00:51.260><c> on</c><00:00:51.350><c> Bloom's</c><00:00:51.680><c> taxonomy</c>

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questions higher up on Bloom's taxonomy
 

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questions higher up on Bloom's taxonomy
we're<00:00:52.579><c> no</c><00:00:52.670><c> longer</c><00:00:52.700><c> asking</c><00:00:53.239><c> questions</c><00:00:53.660><c> of</c>

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we're no longer asking questions of
 

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we're no longer asking questions of
recall<00:00:54.290><c> or</c><00:00:54.530><c> computation</c><00:00:55.520><c> we're</c><00:00:55.640><c> asking</c>

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recall or computation we're asking
 

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recall or computation we're asking
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questions that are structural that are
 

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questions that are structural that are
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you know evaluative where it's
 

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you know evaluative where it's
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succeeding right now is in succeeding in
 

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succeeding right now is in succeeding in
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places where we've been able to
 

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places where we've been able to
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formulate good questions the problem is
 

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formulate good questions the problem is
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that a skill is we may be at the
 

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that a skill is we may be at the
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mathematics or the actual algorithms as
 

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mathematics or the actual algorithms as
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a practice we still need to learn how to
 

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a practice we still need to learn how to
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do formative and summative assessment
 

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do formative and summative assessment
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and how to really bring that into great
 

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and how to really bring that into great
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question asking there's a lot of things
 

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question asking there's a lot of things
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that keep me up at night about
 

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that keep me up at night about
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artificial intelligence and machine
 

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artificial intelligence and machine
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learning probably the strongest one is
 

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learning probably the strongest one is
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that artificial intelligence and machine
 

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that artificial intelligence and machine
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learning I asked math are oftentimes
 

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learning I asked math are oftentimes
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codified as reality and we ignore the
 

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codified as reality and we ignore the
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fact that the reality is behind a
 

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fact that the reality is behind a
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subjective lens and it may be capturing
 

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subjective lens and it may be capturing
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the greater biases the greater you know
 

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the greater biases the greater you know
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of racism sexism misogyny that is in our
 

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of racism sexism misogyny that is in our
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society once we've actually taken the
 

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society once we've actually taken the
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step and we've actually implemented
 

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step and we've actually implemented
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artificial intelligence that has learned
 

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artificial intelligence that has learned
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from us not just the good but the bad as
 

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from us not just the good but the bad as
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a society in a culture we need to
 

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a society in a culture we need to
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understand how to tease out those biases
 

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understand how to tease out those biases
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and make sure that it is not you know
 

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and make sure that it is not you know
strengthening<00:01:57.700><c> you</c><00:01:58.700><c> know</c><00:01:58.819><c> the</c><00:01:58.940><c> darker</c><00:01:59.569><c> parts</c>

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strengthening you know the darker parts
 

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strengthening you know the darker parts
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of our society that is actually like
 

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of our society that is actually like
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helping raise us up and do things more
 

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helping raise us up and do things more
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productive not just holding down those
 

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productive not just holding down those
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that are already disenfranchised
 

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that are already disenfranchised
ah<00:02:12.810><c> my</c><00:02:13.810><c> favorite</c><00:02:14.019><c> thing</c><00:02:14.290><c> about</c><00:02:14.319><c> AI</c><00:02:14.650><c> by</c><00:02:14.890><c> the</c><00:02:14.950><c> bay</c>

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ah my favorite thing about AI by the bay
 

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ah my favorite thing about AI by the bay
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has got to be the location it's a
 

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has got to be the location it's a
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fantastic location it was really easy to
 

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fantastic location it was really easy to
get<00:02:19.030><c> to</c><00:02:19.269><c> you</c><00:02:19.540><c> know</c><00:02:19.629><c> it's</c><00:02:19.750><c> a</c><00:02:19.780><c> beautiful</c><00:02:20.230><c> space</c>

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get to you know it's a beautiful space
 

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get to you know it's a beautiful space
what<00:02:21.640><c> I'm</c><00:02:21.730><c> looking</c><00:02:21.969><c> forward</c><00:02:22.150><c> this</c><00:02:22.359><c> to</c><00:02:22.569><c> this</c>

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what I'm looking forward this to this
 

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what I'm looking forward this to this
week<00:02:22.870><c> it's</c><00:02:23.019><c> just</c><00:02:23.140><c> the</c><00:02:23.230><c> list</c><00:02:23.409><c> of</c><00:02:23.530><c> speakers</c><00:02:23.739><c> it's</c>

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week it's just the list of speakers it's
 

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week it's just the list of speakers it's
just<00:02:24.310><c> an</c><00:02:24.400><c> incredible</c><00:02:24.819><c> list</c><00:02:24.969><c> of</c><00:02:25.150><c> speakers</c><00:02:25.329><c> that</c>

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just an incredible list of speakers that
 

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just an incredible list of speakers that
have<00:02:25.659><c> come</c><00:02:25.840><c> together</c><00:02:26.019><c> under</c><00:02:26.230><c> one</c><00:02:26.409><c> roof</c><00:02:26.739><c> and</c>

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have come together under one roof and
 

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have come together under one roof and
you<00:02:27.519><c> know</c><00:02:27.609><c> as</c><00:02:27.700><c> artificial</c><00:02:28.000><c> intelligence</c><00:02:28.720><c> and</c>

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you know as artificial intelligence and
 

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you know as artificial intelligence and
machine<00:02:28.959><c> learning</c><00:02:29.140><c> goes</c><00:02:29.560><c> from</c><00:02:29.709><c> being</c><00:02:29.859><c> on</c><00:02:29.980><c> the</c>

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machine learning goes from being on the
 

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machine learning goes from being on the
periphery<00:02:30.489><c> of</c><00:02:30.760><c> the</c><00:02:30.970><c> business</c><00:02:31.299><c> to</c><00:02:31.420><c> being</c><00:02:31.599><c> part</c>

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periphery of the business to being part
 

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periphery of the business to being part
of<00:02:31.870><c> the</c><00:02:32.019><c> core</c><00:02:32.560><c> identity</c><00:02:32.739><c> of</c><00:02:33.310><c> the</c><00:02:33.430><c> businesses</c>

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of the core identity of the businesses
 

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of the core identity of the businesses
that<00:02:33.939><c> survive</c><00:02:34.390><c> the</c><00:02:34.540><c> coming</c><00:02:34.689><c> transformation</c>

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that survive the coming transformation
 

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that survive the coming transformation
these<00:02:35.650><c> are</c><00:02:35.739><c> the</c><00:02:35.859><c> voices</c><00:02:36.010><c> that</c><00:02:36.220><c> are</c><00:02:36.370><c> really</c>

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these are the voices that are really
 

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these are the voices that are really
going<00:02:36.700><c> to</c><00:02:36.760><c> set</c><00:02:36.970><c> the</c><00:02:37.120><c> standard</c><00:02:37.510><c> for</c><00:02:37.540><c> how</c><00:02:37.930><c> AI</c><00:02:38.620><c> is</c>

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going to set the standard for how AI is
 

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going to set the standard for how AI is
deployed<00:02:39.310><c> in</c><00:02:39.459><c> our</c><00:02:39.549><c> world</c>

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deployed in our world
 

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deployed in our world
[Music]

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you