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Pardee
RAND Commencement Speech
June 16, 2018
1
Good morning. You are
graduating at an amazing time. Here at RAND and the
Pardee RAND school you have been exposed to some of the
most important thinking of our time. You have had the
opportunity to intersect with the kind of edge thinking
that drives innovation in public policy. You have worked
with powerful tools in this domain – some of which were
invented here at RAND –tools that help us better
understand extremely complicated situations to help make
a safer, healthier and more educated world.
Said simply, the world needs the skills you have honed,
here. Now, more than ever!
But it also needs you to have the passion of an
explorer – to probe, to learn, to reframe, and to
communicate effectively so that we can collectively meet
the new challenges confronting us in this increasingly
complex world, a world that is being driven by constant
technological disruptions of a kind unlike others we
have seen before us. But it is a world where diverse
social systems are shifting and reforming. They are
changing in kind and in operation in dynamic and
uncertain ways both through these technologies and
because of these technologies.
2
We’ve all heard about and experienced this ‘pace of
change’ narrative. I want to step back a bit to consider
some aspects of this world to try to open up a space of
possibilities that’s a bit little different.
David Weinberger, Co-Director of the Harvard
Library Innovation Lab, in his book Too Big to Know
characterizes it this way:
“We used to know how to know. We got our answers
from books or experts. We’d nail down the facts and
move on. We even had canons . . . But in the Internet
age, knowledge has moved onto networks. There’s more
knowledge than ever, but it’s different. Topics have
no boundaries, and nobody agrees on anything.“
The complete title of his delightful book is Too
Big to Know: Rethinking Knowledge now that the Facts
are not the Facts, Experts are Everywhere, and the
Smartest Person in the Room is the Room.
And yes, this was published in 2011.
Another of my favorites is from Joshua Cooper Ramo
– vice chairman and co-chief executive of Kissinger
Associates and author of The Seventh Sense.
“The seventh sense is the ability to look at any
object and see (or imagine) the way in which it is
changed by connection. Whether you are commanding an
army, running a Fortune 500 company, planning a great
work of art, or thinking about your child's
education.”
Both of these books talk about quantitatively and
qualitatively different kinds of connections to
everything: to information, to each other, to the way we
make things, to the way in we do things – research,
practice, create, innovate, love, hate, trust and fear.
The world’s biggest problems are, basically,
hyper-connected, making them complex, volatile,
uncertain, contingent and highly ambiguous. A small
change half way around the world can propagate nearly
instantly across our networks and affect us in
surprising ways. Situational awareness and analysis is a
lot more difficult in these circumstances.
By now, all of us here realize that complex problems
are more than just complicated problems. They are a
completely different class or species of problems. Often
characterized as ‘wicked’ problems, one finds that as
soon as you touch them they tend to morph. They cannot
be ‘solved’ in any traditional sense because they resist
solutions that one designs and implements based on good
analysis and decision making at a moment in time. The
“Catch 22” of wicked problems is that one cannot learn
about the problem without probing it or trying
solutions, but every solution you try can have lasting
unintended consequences that are likely to spawn new
complex problems.
Now add the accelerating pace of change of nearly
everything around us and we have, what my colleague and
co-conspirator Ann Pendleton-Jullian astutely
refers to as a white water world – a world that
is rapidly changing, hyper connected and radically
contingent.
Operating in this white water world requires the virtuosity
of a whitewater kayaker. Indeed for those of us who have
done white water kayaking, we quickly learn the
importance of reading context:
• reading the currents and disturbances around you,
• interpreting the flows for what they reveal about what
lies beneath the surface,
• and leveraging the currents, disturbances and flows
for amplified action.
Needless to say it is not hard to see how this applies,
more generally, to the kinds of policy issues we now
find ourselves immersed in.
3
But what other meta-skills and dispositions might now
be more important than ever in this white water world? I
would say that one is a deep willingness to learn – to
learn new ways to read the world and new ways to work
with it. I think of this as becoming an entrepreneurial
learner – which is not the same as being an entrepreneur
but rather being someone who has evolved a disposition
that:
Is always questing, connecting, probing.
Is deeply curious and listening to
others.
Is always learning with and from others.
Is reading context as much as reading content.
Is continuously learning from interacting with the
world, almost as if in conversation with the world
And finally, is willing to reflect on performance,
alone and with the help of others – that is becoming a reflective
practitioner.
This last one is critical. Indeed, you need to continue
to evolve your own skills, but you also need to develop
skills to connect – significantly - with others both
inside and outside of your own silos, work groups,
tribes and organizations. And perhaps, now more than
ever, you will find that it is essential to develop what
Ann Pendleton-Jullian calls a polymathic curiosity as
you heard her talk about yesterday.
A polymath is a person whose expertise spans a
significant number of different subject areas — not
shallowly but at depth.
Polymathic curiosity is about having the intense
curiosity of an ‘insider’ in fields that are not your
own by training. It is one that helps you listen deeply
within and across your own areas of expertise. This will
be the new coin of the realm for anyone who is
confronted with complex problems.
But to be good at this one must have developed not just
the skill but also the disposition of being not only a
generous listener, but also, a generative listener,
listening across multiple kinds of disciplinary and
cultural boundaries and capable of working with the
constructs you hear. I will argue that cultivating such
a disposition will prepare you to productively encounter
radically novel and unknown situations. And to view
these encounters as adventures - ones that amplify your
own sense of agency.
Of course, most of the above is not something one
learns primarily in classrooms, but rather in the world,
itself. You have already experienced some of this
through your OJT (on job training). But that, is apt to
be just the tip of the spear. Might there be new ways to
learn – what might almost be called ‘cognition in the
wild’ – a kind of situated learning-in-action, expanding
your muscles of imagination in order to engage with
contexts in a way that gets to a deeper understanding of
what affects and influences them. That is, to
interrogate contexts in the manner of Sherlock
Holmes– with deep analysis of facts at hand and
good deductive and inductive reasoning around those
facts.
But where Holmes breaks new ground is insisting
that the facts are never really all there and
so, one must engage in abductive reasoning as well. One
must ask not only what do I see but what am I not
seeing and why?
Abduction requires imagination! Not the
‘creative arts’ kind but the kind associated with
empathy. What questions would one ask if they imagined
themselves in the shoes, or situation of another. And if
you are not hooked on Sherlock Holmes, consider what
great historians do, or perhaps, Rand’s famous Herman
Kahn in “Thinking the Unthinkable”.
But, by now, you must be wondering: how can I keep
developing better ways of sensemaking or interrogating
context, or, simply picking up new skills given that the
half life of skills seem to be shrinking to 5 years or
less, and new tools are emerging, almost daily.
One approach is to develop a broad and diverse network
of colleagues that provide access, insights and learning
opportunities, starting with the connections you have
already made here.
4
But in addition to these new disposition and
meta-skills, we are also on the verge of a new era in
terms of learning and working with a new class of tools
- tools that can assist us with learning in action,
while increasing our own performance. I am sure we all
here are aware of the new forms of artificial
intelligence based on deep learning algorithms, the
kinds that are capturing so much attention these days.
But what is getting less coverage is how these systems
might be turned from AI into IA – intelligence
augmentation – systems that extend our own human
capacities. And if we can get this right - this could
lead to a kind of man/machine virtuosity that actually
enhances our humanness rather than the more dystopian
view of robots replacing most of us.
In March 2016 I, personally, had a major awakening,
with the AI program, AlphaGo, beating Lee Sedol,
the greatest Go player in the world, 4 games out of 5.
Developed by DeepMind, the success of AlphaGo was an
unsettling phenomenon, unequaled, perhaps, in the
history of computation and, for those who play Go, its
gameplay was both counterintuitive and surprising – even
deemed to be ‘creative’ by some Go champions. Millions
of us found this achievement almost beyond belief. For
me, personally, this actually marked the beginning of
the 21st Century. Yes, 2016, not 2000, as seen thru, at
least my own, technological lens. AlphaGo’s stunning
victory altered my very sense of what now might be
possible. In fact, it raised, for me, an existential
question around what human and machine might be able to
do together – each learning with and from each the
other. Was there any upper bound on what might be
possible, here?
I could get carried away describing how this amazing
machine learning system works because it fascinates me.
But that is not what I want to talk about here. What is
interesting here, I think, is what we find when we look
at a much more textured portrait of what transpired
during the playing out of the 5 games between Lee Sedol
and the AlphaGo machine. This story is skillfully
rendered in a stunning documentary called (not so
surprisingly) AlphaGo where a small team followed, at
close range, the AlphGo development team over six months
from the first games it played and lost with the 2015
European Go champion to the final match with the Korean
world Go champion, Lee Sedol, who has rock star status
among Go players around the world.
What is most stunning in the documentary are the
testimonials and interviews.
From Lee Sedol, himself, he says:
I didn’t’ expect it to be like this. It was
unbelievable! unbelievable! After losing three games
in a row, I couldn’t be happier. I’ve grown thru this
experience. I will make something out of it with the
lessons I’ve learned. I feel thankful and feel like
I’ve found the reason I play Go. It’s been an
unforgettable experience.
In interviews, he talks about how playing against the
machine rekindled his passion for Go. How it gave him
new ideas.
In the words of Fan Hui, the European Grand
champion that DeepMind hired to play an almost
uncountable number of Go games to provide some of the
learning for AlphaGo:
When I play with AlphaGo, it shows me something. I
feel beautiful. I see the world differently . . . What
is the real thing inside of the Go game? Maybe it can
show humans something we’ve not discovered. Maybe it’s
beautiful..
Cade Metz – the NYTimes editor who was
co-present for all five matches – said that:
“Sedol’s humanness was expanded after playing this
inanimate creation and the hope is that machine and
the technology behind it can have the same effect with
all of us.”
In the two months following the match Lee won every
tournament game he played and he has not lost a match
since.
Playing AlphaGo led to a new kind of virtuosity – human
plus machine virtuosity. And for both Lee Sedol and Fan
Hui, it created a different sense of the inner beauty of
the game – probably the most complex game there is and
one that has been played for over two thousand years.
5
What was so stunning and eye-opening about this
documentary was the way in which the champion Go players
Hui and Sedol saw AlphaGo as beautiful – showing them
something even more beautiful in the game they knew so
well. This is a bit counter-intuitive and different from
much of the fear that seems to pervade the public’s
relationship to the possibilities of artificial
intelligence and how it will play out through our
futures. Which is not to say that we should not
recognize these productive skepticisms.
In fact, in this month’s Atlantic an article
written by the past Secretary of State Henry
Kissinger appeared. In this piece Kissinger says:
“In certain fields—pattern recognition, big-data
analysis, gaming—AI’s capacities already may exceed
those of humans. If its computational power continues
to compound rapidly, AI may soon be able to optimize
situations in ways that are at least marginally
different, and probably significantly different, from
how humans would optimize them. But at that point,
will AI be able to explain, in a way that humans can
understand, why its actions are optimal? Or, will AI’s
decision making surpass the explanatory powers of
human language and reason?
Through all human history, civilizations have created
ways to explain the world around them—
in the Middle Ages,
religion;
in the Enlightenment, reason;
in the 19th century, history;
in the 20th century, ideology.
The most difficult yet important question about
the world into which we are headed is this: What
will become of human consciousness if its own
explanatory power is surpassed by AI, and societies
are no longer able to interpret the world they
inhabit in terms that are meaningful to them?”
Kissinger’s quote and questions about meaning
beautifully dovetails with the concern and questions of
Joshua Cooper Ramo who says:
“Many of the technical choices we are about to make
will be strikingly political. Who has access to what
data? Where is the line between human choice and
machine intelligence?”
“Banal technical choices will reverberate through
the future with the same influence that the Bill of
Rights, the Magna Carta, the Analects. . . that
persist long after they were first written down.”
So beauty or beast . . . or . . . maybe . . .
just maybe . . . beauty and beast
simultaneously.
We are in a world of uncharted territory – white water
territory.
One that requires virtuosity of us as individuals and
maybe a new kind of human-machine virtuosity.
Virtuosity is an interesting word. It is about
knowledge and skill but it is about more than knowledge
and skill. It is about consummate knowledge plus
consummate skill.
These provide the grounding for imaginative leaps,
leaps that find fresh ways to use the techniques for the
improvisation, experimentation and innovation to address
the above mentioned concerns about the implications of
technology on society but also while riding the wave of
expanding our own humanness.
Perhaps, maybe we can even create the Age of
Imagination where we can fuse the arts,
humanities & sciences, creating a new kind of
alloy having properties that will differ significantly
from those of their individual components.
Thank you and please remember we are counting on you
to use your skills and imagination to help us unpack the
complex public policy Issues that will always surround
us or possibility even define us.
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