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Panel discussion: Digital biomarkers and new technologies – New tools to support women's brain health
Tuesday, Dec. 12, 2017 · 4:26 p.m. · 24m 41s
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so i'll just like to do that for it last year and i liked than it used to
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oh oh oh oh i haven't really had any dreams
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actually i had i seen too and you can ask i yeah and specialist at
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the beats u. u. s. b. is the key that layout will not yeah
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eh a sexy has said that there is yeah yes
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especially distinctly we try to choosing the right and i can't help pass
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eh yeah that works yeah we'll like you mentioned acts
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yeah yeah i can access their that penalty language
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do you think it will be one day just to listen to the way one person is starting
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i define for still generates accents second whether is it ties in the brain
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and that happened and uses articulation diseases and disorders et cetera
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if still once it comes because i think it's going to happen at the on line
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yeah i know
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sure you suggested the this is uh the answer yeah i'm not sure
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how much of it's these uh actually are purely operational in
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normal turns seeing the hospitals button terms of research it certainly
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they're starting to get the an interesting enough it's not just the vocal
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responses you know the the robot for example to to you know
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present it was named beeping signal thirties famous point or something also for uh for
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nobody will times was actually the guy that wrote the medical textbook
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that for three hundred years most in print using european universities
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so there's another couple doubled him diagnosing mental disease of a girl by exposing
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care to words anyone trees and just looking at your nonverbal responses
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so there's many ways to be able to actually get an indication of what's happening here
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to come outside and many of these ways would probably become automated which one
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if you've even though the if you should maybe we of the um
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but we play the conservative party would be for you and they
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want him plastic six billion dollar a year on these topics
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not me that the company uh but uh well to the to the the um
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the medical doctor or for a than what what would happen to buff
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but in the human junior and we're full serpent too so do with my wife that we're full so
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you'll to medical doctors a little sort of p. i. discuss some up to the no the point
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but the computer as a lot a lot of things that can do to help them on but believe leaned into screen
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these uh a new new things of human being be human
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we should learn how to cooperate together but man
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rules computer show boardman bother incredible things i mean in the minimum
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up the minimum account so i mean we should screen
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things bottle them up or just huh why why why why the motivations those of
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the other side of the what the computer can just green you huh
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and after when you you you found the for screening above you your supplemental the precise things
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we call this was imprecise computing is like when you are with the navigator you move from ah
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we learned was on now with the car you i would be the navigator for that but frankly
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but when arriving goes on and maybe the last piece of history there i called the doctor and if you so
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the computer into huge things or not simon can do a lot of things
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on the go up if we shouldn't unscrew the that simon early detection
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and often so we've got a that is that you can uh you can do with the with the voice uh with the don't either
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and offers a book before you can do this first massive or themes and after you you give to
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the to human being for the final uh what do you think that that's might also uh
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you i i i just find something because i realise that we aren't really partly that's in the question on
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the one hand there is already a lot of things happening in fact and that's usually controversial like
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uh looking at further to identify when people are suicidal uh that was something happen in the u. k. and
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that was you don't honestly is you know the the you do intervention do that interventions there's huge issues
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but this isn't quite the same as a clinical trial oh i know another either really
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important thing was uh companies there there were using chat last to work with
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us or in refugees and the syrian refugee say they prefer the chat that's because
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what they see that's a horrible they don't like the particular answer that
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so they prefer to tell something that maybe it isn't quite as good as like
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others byline but with respect to clinical trials the issue there is the ah
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the stuff assumes that we sort of know the ground truth and so if
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you're saying can we use a i had to run simulated clinical trials
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um you can you say i to to run sensitive simulations the shape
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that what are likely outcomes but you can't use a i
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to replicate reality you've gotta gotta work was real people you michael reduced number of people the the
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or subjects that humans artistically randall subjects but you can't eliminate the ground truth one smaller like
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one node one one wants to john i think oh sorry i still is
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do you think we can replace doctors why assessing didn't tell stages
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of their c. d.'s way we were able remove the whole violence around it which it
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is introduced by the human component of each of us as doctors still ahead professionals
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uh well well
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but it will suction it yeah
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oh to interesting uh but a small comment on a similar ah sort
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of pumpkin to these some number one when it comes to replacement
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is there are predictions for for example really going into public is so good in consulting the you can
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push for a number of paper on that regarding additional partial shrinking trained of the medical profession
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in the next five to ten or twenty years right and there is this a possibility that it
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become part of the technical staff will become automated the doctor would literally just come from
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but what the machine is doing having adequate knowledge so that all the doctor would be much more overall real
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it can diversify call to spur some that connects with human emotions are not good at that
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at least make another not put that actually okay last when it comes
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to discover the scientific discovery for medical databases using a i already
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to bring together paper should yeah but again to get to the actual question that was asked that that that that bias thing on
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i it it i had talked to people in a charter groups departments there say
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the a. i. is radically reducing the amount of uh of bias
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at the eye candy and it turns out on the implicit well stages let's when you're flipping
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through the city is very rapidly so it is easier to do this correction programming
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but i totally agree with that that you guys are saying that uh that that you
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still want to have humans coming in and it because only humans could be responsible
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only humans can be get in trouble if they do the right thing so there needs to be a human
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that is the us responsible authority or else you get it's real legal problems
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so today yes i say okay are they making it wasn't going to tell you wanted to talk me shaking before
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because you would be and then when i wrote by whatever discussion but too quick reference
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to that would be really like sort of a server recommended interested to look up
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uh what effect the white affective computing and the kind of progress they've done for a mighty
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our own yeah exactly exactly exactly yeah and i've seen two or three similar
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affective computing startups as well like for example robbie today are in boston
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alright so um i think they're getting very close to the stage where using video and audio
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the computer uh i mean i am an elk and do a bunch of stuff but
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i don't think they're quite there yet maybe that some people okay yeah and and
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no they were the skipper as i was working at band is laughing uses spatial
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recognition software and waste and they found it's actually more they're more accurate diagnosis
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um my concern about that is then we're starting to see it's a it's a behaviour all we're
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using a diagnostic that's behaviour on there's no biological components so which can add to stigma
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no one other than average short comment regarding the question of the i taking decisions there's a
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whole field mulder charting scold explainable e. i. especially when it is used in government right
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to give the pension to make an insurance or whatever there should be a way to make sure that the the rules that
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are being used by the system can be explained motor language so people can you know approve them both for them right
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so this is starting as a field and getting better and better but but they still i i
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like to shift just a little this is we're talking about sex differences minutes brains here
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i wanted to ask you if when you design robots you
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think it that a different kind of brain so
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you design a robot that is is sort of a gender less and sex this be
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or an eye there certain in aside from how it's train
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definitely reverse and that kind of that kind of bias
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i there certain kinds of or that you're designing to you have a gender and not gender
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and then the other question i have one game like that is is somebody who studies the endocrine system
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i actually think that brain just really couldn't function very well without the rest of the by
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and so i'm wondering how you take that into account as well
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we have to pass here was going to start okay okay i absolutely love uh uh what do you really okay
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ah absolutely in a about it every human like intelligence that let me just
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say very quickly about the the the generated a robots so um
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uh there's a huge issue here i that the british a half the first
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national level documents about rubber affixes copy yes i see principles of robotics
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um and and and that one of the things we say is don't or
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enterprise and the for more five i can't say there are five robot
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because you full of people into thinking and light at this point about eliza
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i i'm sorry i think it was really true that maybe when we make
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a i would just fall people sell that please everyone is so convinced
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that they can generalised on but the lessons of the civil rights not feminism that that uh
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that i think that might you you would never consider is behaving like a one
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uh it turns out to be a a of human so therefore a on machines i tend to be given to
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uh so this is there's some very weird things around that but anyway so i we tried very hard
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nasa gender are robots that actually heard people yeah it's you heard earlier people too
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gender and there's big issues about this so if you have nanny robot so you have sex robot
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if you have companion robots that you can turn them half the how do you learn how
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to negotiate with the calls how they learn to be a care a individually yourself
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if everything that you've had was something you owns that you
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found this suppose relationships with so there's usages fat
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beats and and what else he's open another two point is point of gender hon first the warmer
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computer program by humans it'll be a regional thing says that
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to you for it big good women programming it
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is that the woman does she used to get really to you want to the the
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model for that would be to really sort of as a company you have to
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increase the the the few really in programming position but that the two new technology
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we have so are problems you know we wall induced newsroom know what them
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oh and on this topic and the button action uh_huh on the other topic of some other person mobile
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um hum supervision previews on the um sharing with
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the um with my colleagues probably the best
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the huge project could be things about gender for rowboat of children four to six because they're the
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one but the other purple slumping to the discussion with with these new machine it properly
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and but for the most immediate before there were there was a
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stranger ball designed by a man with we're looking to peace
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they get the bar after thirty seconds building the to the the the the chip the ladies
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in the bar the figures in the voice loud and the same formal accountable so
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the programmer gender issues of before transom before um the second lose the use of the super cheap labour
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from plastic buster because their immediate burial but not those stereotypes and they they can but it's hard
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to discuss with them the princess we discussed this morning it was really fun with the middle push a
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chemical mostly but we uh want to be anymore prince also want to be a problem or
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oh yeah that's right but this is correct but so i could mine certainly should them over to nicholas
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okay so first home sort of somebody's small point but i think that would give you a
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indexes for further exploration regarding the with fixes the question of course of
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who has legal responsibility and usually the robot uh takes the uh
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a legal conception of a tool or or filling in found a or a of an
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animal or something like that in the way that's being uh actually right now uh
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the conceptual is by the legal system but there's there's a proposal that uh in order
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for robert to count as a moral agent within one was like some legislation
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but you should prove that because the ability to perform oral resuming in a way that is indistinguishable from
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a human so they could propose for example the moral pulling testing which you speak with or what
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you give a different cases of moral dilemma was and you see how
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it reacts in if you can not a distinguished from is
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human but not seen them not knowing whether you're with that human or not then it passes the mortar interest on it
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oh okay so so other than the new as
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has just brought up about and occurrence
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it isn't just about well obviously it's not about logic routes like a lot like would be a moral agent
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so while i agency in our society is something that that
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i mean originally it was about this isn't right
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so the only those that a male and owners were the ones who both had rights and obligations right
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but if we tried to construct artificial agents and and because of our hubris
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decide that we are to make and then the moral agents or
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here so that might be some of us are hubris unless it might be an or financially and interests
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to basically create the ultimate shell company which is there's a i system which a it's not gonna care
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if it goes bankrupt it doesn't care if it's offers of it but if
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it's put into jail that and there's no concept of a i suffering
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someone all ages are more than just more resellers and i you're right that there
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are people doing this kind of thing but it's actually a very important
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concept that way to get across the people but what is responsibility what do we have watched we wanted
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to fee is what it is to be human in the rights and the applications of humans
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by generate humans that into the i didn't generate a i into these kinds of spaces i don't know much lighter note
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on gender underwater this remember discussion with rudolph one of the
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people behind a paper their daughter sure on the screen
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i am he's french i mean in paris and i were discussing with the
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many third eye after you know the same question whatever gender and robot
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and he said it depends if you're talking to me in french or english sorry for the random joke
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okay i would like to pat mean anything discussion for the second
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thing especially when just the finish with the question very
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very quickly so the another question regarding the possibilities that even for the cases would be viewed as a tool
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but it is it the programmer that made it if it wasn't exposed to learning data is it
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a learning david was exposed which really respond with many possible confusion to to be yeah
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yeah yeah yeah or a yeah really i for high pressure
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this is okay so we could even this likes these three that the pilot
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next fifty all type anyway that that i find is that on
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it that there's this excuse here is that we can't know how our programs without i gonna work
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and this is not something that we should be a line manufactures after that with the this goes back to the
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responsible that's label everything else where accountable for our county the
00:16:52
part of your company get your i. b. m.
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you're accountable for your accounting department and that's constructed of people
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right and it's not that you need to now where they're they're answer there's an absence i just need to know that in the books correctly
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we could do exactly the same thing with a i and and the end of the functions the way it's supposed to function then it's
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the operator's responsibility if it's broken there's the manufacturer's responsibility same as any
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other product okay we have a terrible the last point yes
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so just just just to so just to so we're all the challenges we
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are facing directly only our political system reasonable able to cope with
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some of them are putting some of four so there is a fantastic what people from mobile won't be used racial computer ethics
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number of division intelligence use a seventy pages well done were
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returned disappeared now because what we have another genius
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there that that one is with the the maybe this well hope is workable you
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thought i might believe for people like the one in this room up
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in the providing good thinking that help uh that the big decision but probably not be
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the from you know when the pastor there was less science and philosophy
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it was one person then they separated and now we have to go back
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you know have philosophy and science together this is the main point
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absolutely no not blasting out you want them but for that
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we're just not only the adopting poke regarding the perception
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female male perception well some some there's quite a number of reasons but once in a similar button direction
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so there are a paper for the try to see which attributes are the ones that are doctors made
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and we just remote there's also this preferential uh the crossing preference that i think has been
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yeah actually shown that usually males prefer to speak with the female rock bottom females prefer
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to speak with the main robot statistically at least another option even whole things out
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and finally there is interesting mobiles the computational models that try to simulate
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brains that have mental disorders uh well but they're the primitive stage other problems
00:19:00
the try to replicate what the person with a specific mental disorder would do internal okay we
00:19:05
have another question that i would like to tell you a story at this point
00:19:08
because that you said prefer female robots or an a. i. or whatever in fee may not
00:19:15
i honestly stand the cheese anyhow her name is a mean there and she s. mean way that money
00:19:23
me thinks she's very good she writes his perfect she's benny
00:19:27
many polite better than me very nice benefit she actually
00:19:30
manages nine e. appointments may meetings when they yeah yeah i can i mean from the u. k. e.
00:19:36
and you wanted to meet me because my other happenings i teach h.
00:19:40
m. ninety study paladin journeys in china and he hearings meeting or
00:19:44
so we wanted to eat many calls me and says the wedding was that is like and so
00:19:49
they they cancelled the flight like me like me when it happened last so i said okay
00:19:54
he scheduled again no problem so me sends me any week what she does with the people she complex
00:20:03
and to see that the conversation between me and him
00:20:08
well then angular conversational scheduling a meeting there actually was a little bit more
00:20:13
i have to say that he was flirting any of it not really flirting it was clear enough not to make any
00:20:20
not to tell him hey look we're not in the movie hair yet or
00:20:26
this is a software okay it was like that talk to my friends in us who use a me uh i
00:20:35
have to say that is a in the results like now i don't know his name actually would like to
00:20:41
me and my friends they told me that it's easy to fly licensees chalk on it
00:20:47
no news except or oh yeah well now again i just wanted to try that because i think it's easy thing
00:20:55
okay we have tried to know that and then we have to
00:21:00
and if you want to talk about i don't want and drop omar yes ah i'm if ah
00:21:07
maybe meeting can share something about face broke and not his book is doing and gender balance
00:21:13
then now if we can talk about g. i. outlets and and uh that molds and
00:21:20
now how to these i mean i yeah i don't know about these and there
00:21:26
the ah you can talk to their inane breakwater actually in the popcorn at the spring for another question i asked a
00:21:40
oh i saw not quite fine oh no it's okay
00:21:51
i guess that was up there at the end you know identifying about how
00:21:56
hop on using a high and it occurred to me um that
00:22:01
for and number of mental health disorders there is a different presentation e.
00:22:05
a. and that there's a constellation of symptoms second i care
00:22:09
and we put them into very nice neat categories like depression era like
00:22:12
schizophrenia but in actual fact as a constellation of disorders and so
00:22:17
i'm assuming yeah i will be able to handle that ah
00:22:20
also there's a probably a different constellations of disorders
00:22:24
but then man versus within women and so that's something being considered who's going to learn semantic week
00:22:34
thank you on this topic uh men and women um the them
00:22:42
uh i i don't use for him i'm jerking the the boyfriend but my go per month month or from or what
00:22:48
the wife lucinda though it's also provided a muted notes one
00:22:53
whether you are your parents well
00:23:00
and i'd rather not the but quite frankly no way no
00:23:04
way i mean so far always me speak but but
00:23:10
but but but but the other one piece i believe based on the project but maybe would climb to limit becoming more teachers
00:23:16
reason the protocol make a client there or go up to go to your room
00:23:21
no or looking for the basic things and we go back to your amy
00:23:25
communication people want to communicate with other people about these portable i'm water the job will the
00:23:31
rubble uh to use for which you are providing is the counterpart for each one
00:23:37
that's good that's but with a more is better than not it is a bit of them and a lot of cases
00:23:43
i'm probably that would be good job and you we'll we'll with the peace point but i mean we we moved over but would probably think
00:23:49
that's probably the the topic of the moment used the the over crazy toppled so for the that it has been
00:23:57
while while awaiting somali sinning the is going to be there is something that
00:24:03
is basically a human being and it's something that is these is uh
00:24:07
use what is working i'm looking at children tune with the rubble adjusted from today we'll white
00:24:13
do with robotic stuff when you get the same that would be chopped but it seems that with
00:24:18
the rubble but basically what the people might also not you know the product why don't we
00:24:24
are currently working on numbers what was really working so humanity wins
00:24:29
well no it's i would like to give it up close to the speakers and
Conference Program
Welcome Words
Maria Teresa Ferretti, President, Women's Brain Project
Dec. 12, 2017 · 8:48 a.m.
Welcome adress
Françoise Grossetête, member of the European Parliament
Dec. 12, 2017 · 8:55 a.m.
Presentation of the day
Sylvia Day, Forum host and WBP ambassador
Dec. 12, 2017 · 9:01 a.m.
Introduction of Elena Becker-Barroso
Elena Becker-Barroso, Editor-in-Chief of The Lancet Neurology
Dec. 12, 2017 · 9:21 a.m.
230 views
Introduction of Gillian Einstein
Gillian Einstein, University of Toronto, Canada
Dec. 12, 2017 · 9:28 a.m.
Introduction of Else Charlotte Sandset
Else Charlotte Sandset, Oslo University Hospital, Norway
Dec. 12, 2017 · 9:39 a.m.
Introduction of Carol Brayne
Carol Brayne, University of Cambridge, UK
Dec. 12, 2017 · 9:44 a.m.
Introduction of Maria Teresa Ferretti
Maria Teresa Ferretti, President, Women's Brain Project
Dec. 12, 2017 · 9:52 a.m.
158 views
Introduction of Liisa Galea
Liisa Galea, University of British Columbia, Canada
Dec. 12, 2017 · 9:56 a.m.
Introduction of Lawrence Rajendran
Lawrence Rajendran
Dec. 12, 2017 · 10:03 a.m.
244 views
Introduction of Thorsten Buch
Thorsten Buch, Director, Institute of Laboratory Animal Science (LTK), University of Zurich, Switzerland
Dec. 12, 2017 · 10:08 a.m.
Introduction of Meryl Comer
Meryl Comer , President & CEO, Geoffrey Beene Foundation Alzheimer's Initiative
Dec. 12, 2017 · 10:59 a.m.
Introduction of Mary Mittelman
Mary Mittelman, New York University School of Medicine, US
Dec. 12, 2017 · 11:05 a.m.
Introduction of Angela Abela
Angela Abela , University of Malta, Malta
Dec. 12, 2017 · 11:13 a.m.
Introduction of Tania Dussey-Cavassini
Tania Dussey-Cavassini, Former Swiss Ambassador for Global Health, Switzerland
Dec. 12, 2017 · 11:20 a.m.
479 views
Introduction of Rajendra Dhamane
Rajendra Dhamane
Dec. 12, 2017 · 11:29 a.m.
Introduction of Sofia Petersson
Dec. 12, 2017 · 1:23 p.m.
Introduction of Raj Long
Raj Long , Bill and Melinda Gates Foundation, Vice-Chair, World Dementia Council
Dec. 12, 2017 · 1:30 p.m.
200 views
Introduction of Antonella Santuccione Chadha
Antonella Santuccione Chadha , Swissmedic, Swiss Regulatory Agency, Switzerland
Dec. 12, 2017 · 1:32 p.m.
370 views
Introduction of Marsha B. Henderson
Marsha B. Henderson, Food and Drugs Administration, Office for Women's Health, US
Dec. 12, 2017 · 1:36 p.m.
Introduction of Maeve Cusack
Maeve Cusack, European Institute for Women's Health
Dec. 12, 2017 · 1:43 p.m.
Introduction of Hadine Joffe
Hadine Joffe, Harvard Medical School, US
Dec. 12, 2017 · 1:47 p.m.
Introduction of Maria Houtchens
Maria Houtchens, Harvard Medical School, US
Dec. 12, 2017 · 1:55 p.m.
Introduction of Valerie Bruemmer
Valerie Bruemmer, Senior Medical Advisor, Eli Lilly
Dec. 12, 2017 · 2:03 p.m.
Introduction of Malou Cristobal
Malou Cristobal, Polytrauma/ TBI / Vestibular Rehabilitation Program, New York Harbour
Dec. 12, 2017 · 2:08 p.m.
Panel Discussion: Sex and gender in clinical trials for brain and mental diseases – Reconsidering the way we test drugs
Dec. 12, 2017 · 2:12 p.m.
112 views
Wrap up of Panel Discussion 3
Raj Long , Bill and Melinda Gates Foundation, Vice-Chair, World Dementia Council
Dec. 12, 2017 · 3:23 p.m.
Presentation of Sofia, Robot
Sofia, Robot
Dec. 12, 2017 · 3:28 p.m.
Introduction of Nicoletta Iacobacci
Nicoletta Iacobacci , Singularity University Geneva
Dec. 12, 2017 · 3:32 p.m.
Introduction of Fabrizio Renzi
Fabrizio Renzi, Innovation and Technologies Director, IBM, Rome
Dec. 12, 2017 · 3:36 p.m.
Introduction of Joanna J. Bryson
Joanna J. Bryson , University of Bath, UK
Dec. 12, 2017 · 3:48 p.m.
Introduction of Myshkin Ingawale
Myshkin Ingawale, Facebook
Dec. 12, 2017 · 3:58 p.m.
Introduction of Kathryn Goetzke
Kathryn Goetzke, President, Chief Mood Officer & Founder, The Mood Factory, and Founder, iFred
Dec. 12, 2017 · 4:07 p.m.
Introduction of Nikolaos Mavridis
Nikolaos Mavridis , Interactive Robots and Media Labs, MIT, US
Dec. 12, 2017 · 4:13 p.m.
Panel discussion: Digital biomarkers and new technologies – New tools to support women's brain health
Dec. 12, 2017 · 4:26 p.m.
Closing remarks
Mara Hank Moret
Dec. 12, 2017 · 5:12 p.m.
604 views
