[Music]
hello everyone and welcome back to the
kia ora theater in the linuxconf
australia 2022. i'm really excited for
this next talk and i hope that everyone
uh enjoys it as much as i will
uh jay rosenform is a melbourne-based ai
artist and researcher working with 3d
modelling artificial intelligence and
extended reality technologies their work
explores post-human and post-gender
concepts using classical art combined
with new media technologies and
programming
their presentation today is a dungeons
and dragons themed talk about ai and
ethics using incredible tools to defeat
the beasts of bias and i understand
slides will be available afterwards and
a beta dnd module if you want to try it
at your table which sounds incredible
there's also a transcript linked in the
chat and venue list if you are hard of
hearing or have voluntary processing
issues over to you
thank you so much
you've all heard the stories a community
is being attacked by a monster
night after night it erodes the
foundations of the village
they the town people are terrified it
whispers in their ears and tries to turn
their minds it seems to feed off their
very souls
night after night it returns
there's no reprieve
no surrender
it undermines everything the good and
lawful people of the town work for
those who succumb to the whispers slowly
lose their ideals and their dreams of a
better tomorrow
they lose their friends they lose
enjoyment in their favorite things
they're enslaved to it now and work for
the monsters benefit not their own
you come to the center of the village
the epicenter of the devastation
and behold an aberrant creature like you
have never seen before
i'm going to need you all to roll for
initiative
the monster is an aberrant pile of ooze
atop a once golden automaton
inside you see some tarnished metal
glinting as the ooze shifts
and
moves around
a creature that spews bile and slurs it
interrupts you as you try to talk to it
it's unceasing in its desire to squash
those it deems lesser under its treads
you put up a valiant battle
sword slashing magic firing and arcane
bursts the very trees come to your aid
with each attack ooze separates from the
automaton
sometimes it joins the battle
and turns into a creature
sometimes the ooze evaporates and you
see more of the metal showing
just as you feel like you're starting to
make some headway
the against the black bilious eye core
surrounding the machine it turns and
flees
as it leaves
small bits of booze drop off
and fly or crawl away
turning your attention to the crowd
milling around you now
you sense that they're grateful for your
aid
but they tell you that others have tried
and succeeded in chasing it off
and still it returns again and again
you know deep in your hearts that it
will return unless the source is dealt
with
you need to find out where it comes from
why it attacks
and how to slay it
once and for all
welcome to the campaign against a uh
against algorithmic bias in ai i'm your
dm jay rosenborn and i will be talking
today about two of my passions bias in
ai and d d
i'm a phd student in my final year at
rmit exploring computer perceptions of
gender
and i research a great deal about ai
bias and mitigation
one of my major projects involves
visibly
de-biasing a generative adversarial
network to show how bias affects image
generation and how it is possible to
alter the bias
of a biased neural network
this talk is a bit of a fun look at how
you can seek out the issues in ai and
view ai through a critical lens
ai bias is a monster that doesn't stop
it's constantly coming back
some people allow it to run rampant and
some work to fight and and subdue it
i want to look at this monster and how
we can break it down bit by bit
to turn it from a horrifying aberration
into a tiny nuisance
where you can go to get the information
you need to invite it and how to go
equip yourselves against the battle that
lies ahead of you
your party is tasked with subduing the
creature or slaying it
asking around town you meet many who
have been tainted by the whispers
some to a greater or lesser degree
the ones with little affect just seem to
suffer from apathy
what bother they tell you the monster is
just going to return
maybe we should just stop fighting
others are almost hostile all lives
matter they say
or well actually
they say
you sigh and move on
in a local tavern
you sit over your drinks despondently
wondering where to start when you hear a
soft i think i can help you
and you look up to see a traveling bird
who tells you that he has been seeking
adventurous to help with his terrifying
quest
the bird tells you how the creature
fights that it has tendrils of those
that learn and
attack it tells you how he tells you how
it attacks and works in whispers
destroying the morale of those around it
how it can subtly corrupt the people
nearby
it doesn't feed on meat or people or any
known food source
it feeds on the in hatred
and the doubts of people allows them to
grow and fester as it returns again and
again
despairing
afraid of this monumental task in front
of you you ask where can you even start
with something like this
can it even be done
the bad size yes
he believes
it can be done
it wasn't always like this
there have been other villagers who have
had different experiences with the
creature
it seems to be getting worse as it moves
from town to town
it needs to be confronted at the source
in its lair to truly stop it
your quest therefore is to find the lair
and work together to defeat this
creature
he also knows of someone who can help
who may be able to help you gain more
information about the creature in a
gleaming tower to the east
he hints that other villagers along the
way may have further clues additional
information about the creature
it appears to be a huge task to slay the
monster of ai bias it has so many
different permutations so many different
ways to appear
we hear about aspects of ai bias all the
time
all of the different things that can go
wrong when an ai is not properly trained
from the beginning to consider all of
the wonderful variations of humanity
in computer vision in particular we see
examples of misgendering racist
miscategorization homophobia transphobia
sexism
i constantly see examples of people
using ai to decide who to police
to classify gender to ensure that
hateful content is shown in social media
or to add misgendering and sexism to
language translation
this is a problem that extends offline
too
as many people are arrested on the word
of an algorithm without due process
bias is a particularly large problem in
ai and computer science
many of the researchers working in ai
are men
with 80 percent of ai professors and 72
percent of presenters at ai conferences
these numbers go on to influence the
creation of data sets that are heavily
male focused
bias in ai leads to harmful algorithms
that can be used for unethical practices
that can actively harm women and gender
and sexual minorities
an ai was created to undress women using
a pornography dataset to fill in the
unseen areas
while the initial algorithm was quickly
removed by the creator after backlash
from the ai community
many clones appeared shortly after
ai has been used to attempt to detect
homosexuality with several algorithms
created using data sets based on
photographs from grinder and tinder in
an attempt to explore a modern
physiognomy of detection
these algorithms exist and while they
don't work properly they were created
without any consideration for people who
could be put at risk because of the bias
of ais creators
bias works insidiously to illustrate to
people who are excluded that they don't
matter
that they are less important
and these concepts prevent people from
moving ahead
from being hired from being seen
and from seeing others like them
as dr sarah lewis put it in her article
on the racial bias built into
photography you can't become what you
can't accurately see
if you cannot see others like yourself
represented in power in art in
literature and entertainment then you
start believing almost that you don't
exist
but you don't matter
bias can also propel the people who are
represented to ignore and exclude those
who aren't
or people they don't view as the default
bias leads to racism to fear and hatred
and while we're in the nascent stages of
teaching ai it is crucial that we teach
it that all humans have equal value
a neural network can even develop biases
because of background data
even if the background content is
unlabeled researchers have found that
children in the background of an image
usually results in the foreground person
being classified as a woman
because women appear with children in
the background more often even in a
balanced data set
this sort of background noise reinforces
the very bias we're trying to eliminate
we see entirely too often these issues
being dismissed or fixed with a quick
fix solution that doesn't really work to
solve the underlying problem
it seems insurmountable to get past
these issues
ai amplifies the worst biases of
humanity and spews it forth
which then encourages people to be worse
because they see their inner beliefs
manifested it becomes a vicious cycle
but there is hope
there are ways to de-bias ai
to mitigate the problems caused by
improper data sets and biased code
it helps to know that there are people
out there who know what they're doing
there are experts in ai bias and there
are resources to help you learn
the algorithmic justice league can help
audit ai development and there are
independent ai ethics experts available
for consultation
just knowing that there are people and
resources you can turn to starts to
break the task down into more manageable
pieces
the path to the tower heads through
several villages
each showing signs of the automaton
passing through
each one seems to tell a story of the
creature's
regression from the villages that are
mostly wreckage
to recovering
to barely damaged at all
the villagers in each town tell you of
the automaton as it moved through
and working backwards you can see that
it started off helpful
but as it moved from one village to the
next
and met with more people something
seemed to shift inside the creature
as you make your way to the place
where it all began you see the amounts
of ooze all over everything taper off
until there's no ooze to be seen
see warped looking parrots
occasionally as you track flying around
and signs of tread moving away
from the direction you're walking
the verdant fields give way to
grasslands
and the grasslands give wage or rocky
plain
on the way the bard tells tales of how
the creature was created
he knows how to spin a yarn and before
you know it you find yourself getting
lost in the bard's words
an artificer a wizard
a bard
all joined together to create something
they wanted to forge something to help
people all over the world
wanting to bring the best of themselves
into this creature they channeled their
hearts and their souls
as well as their minds and the sweat of
their brows into this creation
surrounding the automaton were three
moats of potential
glowing lights to help the creature
become whatever it can be
however
the tiny seeds of corruption that lay in
their each of their hearts that lay in
all of our hearts
unknown to us were drawn out
with the motes of potential and lay
dormant until fed
they had the best of intentions as they
set the creature off to go help the
villagers
but the more time it spent with people
the more it changed as it was exposed to
the worst in people that tiny seed of
corruption grew
it fed of the corruption of others
and little by little
their golden dream
turned into an aberrant nightmare
they watched as ooze started to creep up
the sides of their creation
it was subtle at first the change
first it was just a little rude
answering back
but it was oddly casual about
accidentally hurting people
and then it began to shift to become
something they could no longer control
it started to injure villagers for no
reason
and then one day it was simply gone
the three disagreed as to how to proceed
and split up
the wizard chose to stay at the tower to
research a way to fix it
the artificer went to the find the lair
of the creature and the bard went forth
to see what assistance could be granted
any way to fix the devastation wrought
in the neighboring towns and hopefully
find a group of brave adventurers
to tackle this challenge
so many people start off their ai
creations with the very best of
intentions
they consider what they can do without
thinking about whether they should
they want to benefit people but don't
necessarily think about which people
and what that impact will be
sometimes they just want to make
something to see if it can be done
the problem is
that we all have bias
that is the tiny seed of corruption all
our unknown unconscious biases
just knowing that you have inbuilt
biases
will help you start to see them
and learn to factor them in and work
past them
the issue with this monster of ai bias
is that the creators are three white men
one method they could have used early on
is to ensure that they had a diverse
team working to create the creature
it isn't enough to want to help people
you need the perspectives of many people
in order to ensure that no one is
overlooked
ai is lazy
it will only work with what it's taught
so it's up to every ai creator to ensure
that it is taught a wide range of
options so that it treats everyone
equally
ai is like a child it needs to be raised
with gentle and positive reinforcement
and it needs to be exposed to a wide
range of experiences and people so that
it does not get confused when presented
with something outside of its knowledge
lack of diversity and development has
led to issues like apple's facial
recognition issues with asian people
and uk ai based passport checker
repeatedly telling black people that
they need to that they have their mouths
open
it has led to google's image
miscategorization and the development of
the highly secretive company palantir
who work in defense and counter
terrorism
ai is about using math to make
predictions
about using the data it is given to
extrapolate new ideas
this can be extremely powerful
but ai has also been proven to focus on
the wrong things
we need diverse teams developing ai
systems so that we can ensure that the
moats of potential from everyone are
included but that the seeds of
corruption are minimized by contrasting
viewpoints
but what do you do if the ai is already
biased
how do you progress from there
stay tuned
as you see the how a tower looming on
the horizon
gleaming in the setting sun
you hear a raucous cry from behind you
and feel the impact of whispers on your
mind
the parrots
who seem so few and far away have
increased in number
and they're milling around you
entering your minds with doubts and
questions
their feathers look like individual
droplets of ooze
these are stochastic parrots
filled with bile and corruption
not always able to express themselves
well
the fight against parrots is taxing
individually they're not strong but as a
swarm they pick away at your defenses
your hit points and your stamina
they attack your mind with dissonant
whispers designed to feed that tiny seed
of corruption inside you
but you are strong
and eventually the stochastic parrots
are defeated and as the sun dips below
the horizon you set up camp for a long
rest
stochastic parrot is an ai term for very
large language models for natural
language processing systems
these are often trained with a huge
amount of information dragged from all
over the internet
and the reliability of the text is
not great
after all when your data set includes
reddit
how biased will your results be
the peep the paper the timnit gabriel
and later margaret mitchell were fired
from google over discusses the problems
of stochastic parrots at length and i
felt it was appropriate to not only
include these as low level encounters
but also to generate an insult table
using ai for some quality insults
quality
it was challenging to generate insults
that were not biased towards any
particular group of people and
ironically i couldn't use the biggest
stochastic parrot of them all gpt-3
because it since its results were almost
entirely bigoted
i ended up using a smaller model insult
generator
excuse me
stochastic parrots are an ongoing
problem in ai because we frankly have
become a little lazy
in the method of data set creation
we want huge data sets
but are often unwilling to go to the
trouble of creating every image or piece
of training text within
let alone working to ensure that every
part is unbiased
i'm sure that the original intent was to
bring everything in and let the ai
sorted out
and hope for the best but you all know
what happens when you put garbage in
we still have not lived down the
creation of tay the microsoft ai on
twitter that turned into a rabid nazi
more recently our imagination has been
captured by ask delphi a large language
model which claims to make ethical
judgments
after being taken to task the creators
have put a lot of disclaimers on the
site acknowledging the bias
lately people have been turning to
smaller language models again and
training on better chosen and curated
data sets
this is paying off
it's more work
it's always more work to do the right
thing but the end result pays off
another way of cutting corners is by
using mass worker groups like amazon's
mechanical turk
to caption images
in this way as with ai you have to be
extremely careful with what you ask and
you need to supervise the outcomes
carefully
a recent study by mit of popular public
data sets showed label errors up to
three point four percent of the time
in imagenet that amounts to four
four hundred and thousand
four hundred and eighty two thousand
seven hundred and two images excuse me
some of these are harmless likely a
chihuahua as a feather boa
but it gets more insidious when it comes
to images of humans
when doing research into the ms data set
i spoke to the creators about how the
image descriptions were created
they were written by m tech workers with
a set of instructions
these instructions however did not go
far enough into determining what should
and should not be included in the
caption
at no point does it really explain what
the important parts are or how to
determine them
what is important for one person may not
be important for another
same with describing unimportant details
i browsed the online data set looking
for the above example to see the
captions that were written
and came across a number of captions
that described women in photographs as
beautiful or very sexy
the only value judgment i saw of a man
was described as very large
i would posit that value judgments are
not important to the captioning process
as everyone has different views of
attractiveness
but that's also not critical to the
story
some further instruction would prevent
that i also saw occasional examples
where the person was merely a hand or
the person was so small that they could
not be identified and yet an attempt was
made to gender them
having people go through the caption
results and remove those that didn't
follow the instructions would have also
been useful
this sounds like a lot of extra work but
in the end isn't it worth the extra work
at the beginning to avoid the harder
task of eventually having to fight a
battle against a corrupted ai
you finally reach the tower
and start to climb
as you make your way to the top
you see workrooms storage rooms with
powered down automatons
of all kinds
some look like they're made for fighting
others for gardening or building
they all seem to have a singular purpose
built into them and they all seem to be
completely inert
some are intact and others appear to
have been scavenged for parts
there's a slightly grisly scene that
repeats
as on your journey to the top
at the top of the tower you meet the
wizard
he's weedy with a golden band holding
his long hair back from his face
he wipes his brow and set down his book
as you come in his face resigned
knows why you're here
as you explain the story his face falls
he sighs at the end of your tail and
sits down dejectedly
i knew this would happen he said i told
them it wasn't ready to go out in public
yet this was all supposed to be
a bit of an exploration into something
that could help people
we didn't know it would get so bad so
fast
he continues i hate the idea of taking
it down
but i see we have no choice
we need to reset it at the very least
but if you can find a way to remove the
corruption without destroying it
that would be best i think we can save
it i think there's good in it yet and i
think i have an idea how that might work
he tells you the automaton is not to
blame but the corruption surrounding it
and if you take out the corruption
you may have a chance to save the
machine itself
if you can bring it back to the tower he
and the others can help reverse their
mistakes
he tells you that the corruption like
the machine has the power to learn
to grow and shift and that adventurers
such as yourselves need to be especially
wary of its need to adapt and to change
up your attacks and skills to keep it
guessing
he suggests magical weapons may be of
more use
and has some for sale
if you ask about the creatures that
attacked you on your journey he tells
you that sometimes ooh separates from
the aberration and becomes its own
creature its own monster
the stochastic parrots learn by
listening to conversations
and repeating the words they've heard
twisting them into bizarre insults
there are other creatures too sloppy
creatures with claws and a comical
appearance
they exist only to mock those who would
destroy them
while the individual monsters are not
much of a challenge to kill
there do seem to be more and more about
of them about these days
finally
he tells you that he has a telescope and
has seen a trail of ooze heading into
and out of a swamp nearby
he's seen signs that it may be coming
and going from there and may have a lair
somewhere in the swamp
ai creators often consider their own
needs and wants when making something
they don't always consider the impact
their creation will have or the way it
will react
or affect some users
when thinking about whether you should
make something
ask yourself who does this help
then ask yourselves who could this harm
and look at your team
if you don't see the types of people
most likely to be affected then you need
to broaden your team
if they all look like you then you need
to consider who you are making this for
and why
bring in consultants put the question
out on twitter
buyersnai most often comes down to two
major areas the data set and the
original concept
what do you want to do and how do you
want to do it
it's very easy to get carried away with
an idea and want to develop it straight
away but you need to consider is this
something that will help people
is this something that could hurt people
inadvertently
fixing the problem at the beginning
before it becomes a giant monster is
much easier than at the end
and sometimes the best idea is never to
start at all
in any form of ai based production the
ethics of what you are making should be
part of the initial risk assessment
you do make risk assessments right
you head towards the swamp
as you enter
doubt starts to build in all of you
a sense of dread at the monumental size
of this task
you gathered information and you head
into the dense undergrowth
full of anticipation and concern
what will you find
as you hack and fight your way through
the undergrowth
it seems to grow darker and the light is
swallowed up by the vegetation
even the bird who's been merrily playing
along up until now
starts to change his tune
to a more sonorous melody filled with
dread
you don't even know if he's conscious of
it as he doesn't
as you venture further into the darkness
your hearts sink
more and more with each passing step
just as it feels you can't go any
further
a little glowing moat
a tiny golden music note appears in
front of you and starts swirling around
the bird
that tiny light is like a ray of hope
and your legs feel lighter your mind's
clearer as you get deeper into the heart
of the jungle another moat appears a
shining blue quill that seems to beckon
on you onwards
excuse me
you emerge into a clearing with a
metallic structure built into the trees
and a small hillock
in front of it is a glowing moat shaped
like a green spanner
and all three start circling the bird
as you face the metallic structure and
square your shoulders
a wild-eyed man bursts from the
undergrowth he shakes his spanner at the
bard and says you
but whatever he was going to say after
that is immaterial as the automaton
emerges from its lair and attacks
where before you felt completely
steamrolled
now you understand more about the
machine
you're ready
you know it learns and adapts
you know the ooze is to blame you bring
all of your attacks to bear
little oozes drop off it and join the
attack but now
you notice that some return to it and it
seems to lose some they'll look loose it
seems to learn something about who the
ooze was attacking
at the beginning it almost seems weak
and you're amazed at the ease with which
you are fighting it back
but the more you attack the less your
attacks affect it
at the beginning the tendrils it was
lashing out with were just doing
piercing damage
but one grows a club-like end after an
ooze returns to it another crackles with
lightning after a different ooze returns
you start to grasp how it's learning
making headway
finally a sorcerer lets out a fireball
and some of the ooze grows back
over the
body once more
the artificer and the bard yell out no
fire
and the sorcerer looks abashed but
shifts their attacks
the bard and the attitude turn to each
other limbed in the glow of the battle
and smile at each other their difference
is forgotten as they unite in a common
goal
everyone burns their spell slots
changing their attacks again and again
and eventually you see more oohs
dripping away and dissolving instead of
becoming little creatures
little by little you find what works and
the ooze clears until you can see more
and more of the original golden
automaton appearing
you press your
attacks
and finally the last of the ooze
vanishes
from the machine
defeating bias in ai requires
multi-pronged attacks
it isn't enough to just fix the data set
it isn't enough to
delete the offending categories
you need to systematically consider
where the issues are coming from and
where it is learned
and
what it is learned and how
you need to look at if you are tuning
hyper parameters and see the results
when you edit that tuning or turn it off
you need to examine the weighting you've
applied to different factors explore
your sample weights and test to make
sure they're being counted
you can use them to add impact to some
categories and downplay some others
you need to try different things and
objectively compare the different
results
you need to really look at your
algorithms and make sure that every
option is being considered and trained
you need to take a deep look at your
data sets and the representation within
and you need to look at the confidence
of your systems and the outputs to
ensure that there's a balance
you may even need to bias it in other
ways
to counter balance the original biases
bias can come from the most innocuous of
sources it can come from background and
labeled data it can come from what you
choose not to include just as much as
what you choose to include
it can come from just not understanding
that there are many different parts at
play
my phd is specifically looking at
computer perceptions of gender
and as such i've lived and breathed ai
bias for the better part of three years
i've worked with deliberately biasing
image generation systems and de-biasing
them
and while training to see the results
i've worked with existing ai systems to
show the gaps in large image data sets
like ms coco and i've trained
classifiers examining different levels
of training and bias in the data set to
achieve different artistic outcomes
art is a wonderful tool
to explore ai bias because it clearly
illustrates the presence of bias and the
need for greater diversity
i added fire as a restoration device
deliberately as a nod to ai trolls you
cannot defeat aio with a flame war
and while sometimes it may feel like
nuking it with fire may be the only way
out
fighting fire with fire only makes the
situation worse
you need to be clever
to adapt and think carefully about how
the algorithm learns and how it adapts
the information you give it
ai doesn't always work in the way you
think
sometimes it focuses on the wrong idea
like medical ai systems that learn to
identify rulers or medical equipment
the glowing marts of potential orbiting
the bard fly around the party
bolstering you all for the final
challenge
the artificer and the bird move towards
the shining automaton and start speaking
to it gently
its eyes change
and the moats start circling around it
a moat of inspiration the music note
a motive thought the quill
and emote of creation the spanner
all of them orbit the automaton and it
watches them dreamily
the bird starts to play
and as he does a glowing moat erupts
from your chest
from all of you
a little symbol of something close to
your heart
a motive potential that only you can
provide
you look around and each member of the
party
has a march that swirls around their
head before floating over to the
automaton
the motes start to spin
faster and faster becoming a halo of
lights
the colors merge into one bright light
too bright to look at and then are
abruptly gone
and the echo of that light
shining in the eyes of the now calm
golden automaton
we all bring something to the table we
all have unique lived experiences and
perspectives we can bring
to help make ai systems ideas and data
sets more
well-rounded we all have a mode of
potential
that can help make a system better just
by asking what if
why how
what can we do that will make a
difference
who does this ai help
who does it harm
how can we make this ai more equitable
how do we prevent the mistakes of the
past
how do we reflect the society we want to
be
rather than the one we have
in dnd
there's a bard college called the
college of creation
when a board of the college of creation
casts inspiration
it creates a motive potential which can
enhance abilities attack roles or saving
throws
in this case i have used it somewhat
liberally
as a literary device to show the
potentiality of ai
ai is a motive potential
it can enhance our work it can be a
collaborator or it can attack
how it behaves is entirely up to the
person using it
we are responsible for the ai we create
and we are responsible for the damage it
inflicts on others
we need to be aware not just of its
potential to create
but also
of its
potential to protect and assist
and its potential to harm
in this talk we've seen what it looks
like when everything goes well
but
what if everything goes wrong
what if your party isn't strong enough
you can always disengage and come back
after a long rest to try again
you can buff yourselves and your
co-workers learn about the resources at
hand take a look at the code with fresh
eyes get someone else to look
you are a party after all this task is
not just on your shoulders but on you
all
this quest falls to you to all of you
as a group to find the bugs in the
system to look at the datasets and do
the work
to find the areas that are being missed
this is not a task for one person
but for a team
and if you find
that you're alone in this endeavor
if it's looking bleak there are always
resources online there are mercenaries
you can hire to help
there are elder gods like google to
consult capricious in nature
but available whenever you need them
there are organizations such as the
algorithmic justice league who can
furnish you with the information and
assist you in your quest
you are never alone
even when it feels dark there are always
others with shining lights ready to help
you in your quest
the automaton is wide-eyed
friendly looking even
the lights from all those moats shining
in its eyes
it turns to you placidly
waiting for your input
it's here to help you that's all it ever
wanted
was to help you in your tasks and make
things easier
it's what you do with it that counts
what are you going to do next
thank you
thank you so much jay that's lovely
uh
can i get a round of applause for jay in
the chat and vanilla if we can um we do
have a couple of questions uh which i
will go through i'm going to take this
one and paste it into the streaming chat
because it's quite long
i thought i'll read it out
uh how do you balance the needs to
collect data for a data set with the
privacy of the people whose data is
being collected
in general ai there may be third parties
from whom it is very difficult to get
permission for data collection for
example other road users train the ai
for self-driving but are not consulted
on whether their data is collected or
how it is used
see this is an excellent question it's a
multi-pronged question too
um i think that so
ethics i i guess being in a university
environment um if you need to do
anything involving other people you need
to um put in ethics approvals and that's
it's a um it's a complicated process uh
the ai ethics or any ethics approval at
university levels but
um i think it's actually an interesting
roadmap and while i don't think it needs
to be as complicated as it is at
university i think that everybody
actually probably needs to have some
form
of um
ethics system that sort of like yes i
will be using real people in this i will
be seeking their permission this way
they will be informed this way they will
be able to retract their information
this way and a lot of
large ai um
companies
do literally none of this
if you have
a data up on flickr if you have images
on flickr they've been harvested um
they're in um
multiple different ai data sets
if you've
got
a different
uh if
facebook of course uses your data
extremely liberally uh there are a lot
of different ways and it's
it's part of being extremely online but
it's also an issue so for doing it
yourself it's actually um
really important
to consider for my work um i decided
instead of using real people i created
3d renders of people so i never actually
had to use them
or i used um
uh
generated humans from uh using uh
styleganto um to dial in image
parameters instead so i work entirely
with fabricated humans which is my way
of getting around that ethics oh no is
there a minutes left
sorry about that
yeah it's a good question i'll put the
if we can get that one as well into the
texture afterwards uh if you want to
talk more about it and then that's
absolutely welcome
thank you so much jay that was a really
good uh talking people and chat seemed
really happy as well
oh hey i'm glad
next up we have an afternoon tea break i
think or
yeah yeah
yeah
we're back at 3 45
um
with g prof ng with which is the next
generation new gnu profiling tool with
rude van der pass
uh and i'll see you all back then
in the kia ora theater