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Web Science and
AI
Fabien Gandon, http://fabien.info
Webology and
AI & IA
my (mis)understanding
look into the future
scoping, imagining
state of field
strengths and weaknesses
research directions
blind spots, sweet spots
challenges, opportunities
talk about my research
Web Science and AI
• AI for the Web AI  Web
– Connectionist AI: clustering, recommending, classifying, indexing, etc.
– Symbolic AI: structured querying, reasoning, interoperating, etc.
• Web for AI AI Web
– Connectionist AI: Datasets, corpus, etc. ; Crowdsourced labelling
– Symbolic AI: KR Standards, knowledge bases, etc.
• Web and AI AI  Web Web  AI : a topic for Web Science
webcomputing
architecture
digital
resources
1994 - …
html http
url
uri
iri ataguaagwcagaria
mwbpearlra cc/pp
assx
css
ddrsa xml eve. exi
geo api
dom xform
grddl inkml its cmwww ruby an.xhtml rdfa
ets omr m. ok emma
p3p
mathml mf
pics qa rif sec cont. sawsdlpng powder
sml soap
wsdl
svg awwwttml smile
rdf owlrdfssparql
woff
webcgm
xbl xkms xlinkwscdl wsp
skos
ns canon. x dtxml xproc xfragxml xbase
xschema
xml:id xpath xpointer
xquery
xsignat. xbop
xslt
xslfo
e.g. impact of metamodel changes
e.g. philosophical status of the Web names (URIs)
web page resource value
typed linkshyperlinks
meet WeSAI...
the Web Science AI watchdog we could create
AI-based Web-support
“The library will endure; it is
the universe. (…) We walk
the corridors, searching the
shelves and rearranging
them, looking for lines of
meaning amid leagues of
cacophony and incoherence,
reading the history of the
past and our future,
collecting our thoughts and
collecting the thoughts of
others, and every so often
glimpsing mirrors, in which
we may recognize creatures
of the information.”
The Library of Babel
--- Jorge Luis Borges
to google: transitive verb that means using the Google
search engine to obtain information from the Web.
Nominal Forms
Infinitive: to google
Participle: googled
Gerund: googling
Indicative
Present
I google
you google
he googles
we google
you google
they google
Perfect
I have googled
you have googled
he has googled
we have googled
you have googled
they have googled
Past
I googled
you googled
he googled
we googled
you googled
they googled
Pluperfect
I had googled
you had googled
he had googled
we had googled
you had googled
they had googled
Future
I will google
you will google
he will google
we will google
you will google
they will google
Future perfect
I will have googled
you will have googled
he will have googled
we will have googled
you will have googled
they will have googled
Subjunctive
Present
I google
you google
he google
we google
you google
they google
Perfect
I have googled
you have googled
he have googled
we have googled
you have googled
they have googled
Imperfect
I googled
you googled
he googled
we googled
you googled
they googled
Pluperfect
I had googled
you had googled
he had googled
we had googled
you had googled
they had googled
Conditional
Present
I would google
you would google
he would google
we would google
you would google
they would google
Perfect
I would have googled
you would have googled
he would have googled
we would have googled
you would have googled
they would have googled
Imperative
you google
we Let´s google
you google
Progressive (Continuous) Forms
Indicative
Present
I am googling
you are googling
he is googling
we are googling
you are googling
they are googling
Perfect
I have been googling
you have been googling
he has been googling
we have been googling
you have been googling
they have been googling
Past
I was googling
you were googling
he was googling
we were googling
you were googling
they were googling
Pluperfect
I had been googling
you had been googling
he had been googling
we had been googling
you had been googling
they had been googling
Future
I will be googling
you will be googling
he will be googling
we will be googling
you will be googling
they will be googling
Future perfect
I will have been googling
you will have been googling
he will have been googling
we will have been googling
you will have been googling
they will have been googling
Conditional
Present
I would be googling
you would be googling
he would be googling
we would be googling
you would be googling
they would be googling
Perfect
I would have been googling
you would have been googling
he would have been googling
we would have been googling
you would have been googling
they would have been googling
Autonomy AgentWare Web Researcher, 1996
• dogs as user interface
• representing an IR agent
• training and retrained
neural networks
• sent into the Web from PC
• left in a kennel:
host the agent on a server and go off-line
Wikipedia bots
• 2 187 bot tasks approved for
use on the English Wikipedia
• maintain 45 223 137 pages
web index: the state of the web
country-level data on web usage, readiness, and human impact
Is this the Web we really want?
new markets e.g. world wide word market
Web Robots e.g. AI Watchdogs
• generalize the bots of Wikipedia to Web-preserving AI
• AI web kennels hosting AIs that study, monitor and report on the Web
• a Web science challenge to foster beneficial AI contributions
Website Down Alarm
(by Tessel)
WeSAI could... • detect metrics manipulation
• prevent vandalism
• report spamming
• detect cross language plagiarism
• maintain digital divide indicators
• perform policy-based / value-based actions
• generate links, backlinks, etc.
• create navigational content beyond search results
• improve resilience
• augment browsing experience
• …
The Rock,
by T.S. Eliot,
1934
AI and Web (science) data (science)
metadata overflow
Card Catalog, Tim Schwartz
cultural data as a weapon of mass construction
(autonomous “singer robots” are much less dangerous)
ALOOF: robots learning by reading on the Web
First Object Relation Knowledge Base:
46.212 co-mentions gave 49 tools, 14
rooms, 101 “possible location” relations,
Annie cuts the bread in the kitchen with her knife dbp:Knife aloof:Location dbp:Kitchen
[Cabrio, Basile et al.]
Web&AI-based generation of candidate explanations
AI to assist Web Scientists and vice versa
• AI to produce, curate, maintain corpora and datasets
• AI for quality check, bias detection, etc.
• multidisciplinary certification of training sets (quality, trust, prov)
bias! bias?… sniff… sad truth
WeSAI could... • facilitate data reuse, diffusion, sharing,…
• help build datasets, corpora,…
• help detect bias, links, relations, etc.
• data poor, thin files
• inclusion/exclusion, inequality
…
designing benevolent AIs for the Web
from the notion of a “Web person”
to the notion of a “Web AI”
from known pasts to possible futures
“Then the answers, instead
of coming from my likes and
dislikes, come from chance
operations, and that has the
effect of opening me to
possibilities that I hadn't
considered.
Chance-determined
answers will open my mind
to the world around.”
John Cage, 1985
allow for different possible futures not past-driven
legalto read or not to read…
terms and conditions of web applications
32 241 words18 301 words15 352 words 36 275 words19 972 words11 195 words
http://conversation.which.co.uk/technology/length-of-website-terms-and-conditions/
< < < < <
32
AT&T Privacy Bird with chirping
privacy indicator by LF CRANOR
33
The sound of (bad) privacyby LF CRANOR
34
Privacy meters in search results
Salient privacy
information influences
purchase decisions
J. Tsai, S. Egelman, L. Cranor, and A. Acquisti. The Effect of Online Privacy Informaion on
Purchasing Behavior: An Experimental Study. Information Systems Research, 2010.
by LF CRANOR
ANSWER project: warning on tracking, security,…
complex web applications
barely visible evolution of the place of humans in
= user
= processor
= data
computational context in general
• what am I being used for? what am I taking part in?
• give me the big “human-computational picture”.
active social medias
store, process, reuse, enrich, route, manage
the information far beyond mere communication
over adaptation & filter bubble(c.f. Eli Pariser)
bursting bubbles
SEARCHING
e.g. DiscoveryHub
exploratory search
[Marie, Gandon, Ribière.]
psychological feedback
help reflexivity
AI & WEB
for e-learning & serious games
[Rodriguez-Rocha, Faron-Zucker et al.]
Educational AI e-learning for the web
WeSAI could...
• maintain customized context description
• calls attention to what is exposed & who is seeing
• exemplify what can be deduced
• make things visible/understandable
• burst bubbles, fosters serendipity
• help raise awareness, educational level, computer
literacy, Web skills
• report on neutrality, security etc.
• enforce (human) rights
• be scrutiny agent for important values
AI to help humans face humanity
“To see a world in a grain of sand
And a heaven in a wild flower,
Hold infinity in the palm of your hand,
And eternity in an hour. (…)”
Auguries of Innocence, William Blake
On the Web human individuals face human collectivity
design AIs to help humans face humanity (scale, diversity, speed)
on the Web
Weibo mid 2012: 368 million registered users
and 100 million messages each day
language and geographical coverage
©Denny Vrandečić
help translate,
foster interactions,
bridge communities, etc.
prevent cyberbullying
goal-driven agents actively participating to online
activity
« social » bookmark ?
massive socialization of objects & activities
e.g. sharing more and more
• cars (blablacar, zilokaoto, voiturelib)
• sailing (vogavecmoi.com, co-navigation.fr, equipier.fr)
• taxi (provoiturage.fr)
• packages (expediezentrevous.com)
• parking (monsieurparking.com)
• housing (AirBnB, Couchsurfing)
• storage (costockage.fr)
• funding (kisskissbankbank, kickstarter)
• offices (coworking)
• food (colunching.com, cookening.com)
• sport (Unlish.com, Cleec.com, kikourou.net)
• washing machine (lamachineduvoisin.fr)
• clothes (pretachanger.fr, vestiairecollective.com)
• worms (réseau lombricompos)
…
no limit to socializing
keep track of our digital shadows in a socio-technical mess
WeSAI could... • maintain social overview, detect over-socialization
• foster linkage, interactions and convergence
• prevent bullying, harassment, suicide,…
• protect children, data poor, thin files,…
• fight divide, polarization and radicalization
• bridge, translate, check, report, augment… posts
• act as diplomats (diplomatic AIs on the Web)
• remind past events, posts, opinions,… help us
with the history /memory
• help us scale to the world-wide web scale
multiply action means
multiple AIs on the Web
law of requisite variety
“variety absorbs variety” W.R. Ashby
Web Science and Distributed AI (multi-agent systems)
• “re-decentralize the Web, give everybody his Web site back” TimBL
• more than AI : distributed AI
– Web should embrace multi agent systems & autonomous agent
– Bridge Web Science and AAMAS communities (co-locate?)
Heterogeneous AIs
Web as a distributed blackboard for many different kinds of AIs
(KRR, Learning, etc.)
Web
public domain Web-based AI architecture
Web ways applied to AI
e.g. copy-paste based contribution
/ participation to create AIs
WeSAI could... • evolve on the next Web as in a multi-agent system
• have a lot of AIs friends with a different skills
• have to form collaboration, follow social rules,…
• be born, edited, crossed, bred on the Web
• socialy maintained, copied, versioned
explore and expand
the range of forms
of intelligence
Web Sciences
impact of multidisciplinary nature on AI perspective
extreme speed dating of multiple disciplines
align multidisciplinary facets of AI and Web Science
e.g. cognitive approaches of intelligent agents,
e.g. social science approaches based on multi-agent systems,
e.g. HCI work in each domain,
etc.
Translate expertise of each domain into AIs that help
(assisting, reporting, educating)
Computer science,
Policy and Law,
Network engineering,
Economics,
Social Science,
Psychology,
Mathematics,
Media studies,
etc.
Web
artificial intelligence emotional intelligence
emotions, moods, feelings…
WiFi-SM
Christophe Bruno
Wi-Fi device that one can fix on
any part of the body, and whose
function is to “share the pain
of the world” analyzing RSS feeds.
ELIZA… talking to machines
Web Science to identify other ways of
simulating, reproducing, engaging, …
intelligence
the intelligence is not in
the programming but in
the communication and
psychological design…
think of the Turing Test.
Wood Wide Web
mycorrhizal networks
mycorrhizal network in a forest (van der Heijden et al, 2014)
Connected Animals, ACI, Animal-computer
interaction, animals accessible interfaces e.g.
Herdsourcing: monitoring collective animal behavior
Toward a Web of Things
WeSAI could... • benefit from WS study of intelligence in the wild
• be built from broader definitions of intelligence
• be built on new kinds of artificial intelligence
• interact with many forms of intelligence
• use new intelligent interactions (e.g. AI nudge)
// paving the WAI (web augmented interaction)
hybrid social constructs & equilibrium
EDITS
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
editors by number of actsWikipedia editors, 2012
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
Humans
toward a Web linking, harnessing, combining very
different types of intelligence
• human intelligence, write access,
• Social Web, crowdsourcing, social media, human computing, wisdom of
crowd, social intelligence
• Webbots, software agents, artificial intelligences, multi-agent systems
• Web of Objects, ambient intelligence, ubiquitous Web, smart objects
• Herdsourcing, animal intelligence, connected animals
Toward a Web of Hybrid Societies
• hybrid societies of natural intelligence and artificial intelligence on the Web
• study and design these societies, their normative systems, rules, etc.
• different forms of intelligence to cooperate including different kinds of AI
new types of relations human-webbots
acceleration and alienation
human-friendly hybrid societies
humans in the loop… but not any loop
massive interaction design
ergonomics in hybrid web communities
IMAG_NE
Consider a Web of intelligence linking
 Web of Animals: connected animals to predict earthquakes
 Web of Things, Web of Sensors
 Web of AIs: reasoning systems, learning systems, etc.
 Web of People: experts from all over the world
(i.e. some expert always awake // crowdsourcing & Q&A expert routing)
… to form a collective intelligent decision system.
Web Science and (AI & IA)
two fields born in the 50s:
– AI for Artificial Intelligence (McCarthy et al., 1955)
– IA for Intelligence Amplification (Ashby, 1956) and
Intelligence Augmentation (Engelbart, 1962)
build a research program on both and on the
worldwide dimension that the Web brings.
WeSAI could... • engage in very different form of interactions
• handle massive inter-actions
• form and manage hybrid societies
• be the result of a WebSci & AI & IA joint research
Design AI to provide
the immune system of
the Web
“That is why it is so important not
only to have excellent treatment
but also to try to get back the
immune defense, because there
you have a natural defense that
takes place everywhere.”
Luc Montagnier
ethical: keep watching?
tardigrades Web AIs
• 1 ° K / −458 °F / −272 °C 
• 420 °K / 300 °F / 150 °C 
• Vacuum / High pressure 
• Ionizing radiation 
• Himalayas / Deep sea 
Extremophile
world-wide way
as the web is spreading in the world,
the world is spreading in the web.
world-wild web
the natural complexity of our world
contaminates the web
www
mmm
world wide web
massively multidisciplinary method
WeSAI could... • defend the values we want to defend
• assist the governance we need to setup
• maintain visualizations we need to understand
• automate part of our methods
• help scale multi-disciplinary interactions
• build and maintain boundary artefacts
• enforce a constructive design of the Web
• <YOUR DAGSTHUL IDEA HERE/>
“a Web Science research agenda must account for
the fact that the long term potential of the Web
is to augment and link all forms of intelligence”
Peter Steiner, The New Yorker, 1993
Kaamran Hafeez, The New Yorker, 2015
I pass CAPTCHAs,
Nobody knows I’m a bot
2018
some material I reused
Fabien Gandon, A Survey of the First 20 Years of Research on Semantic Web and
Linked Data, (To Appear in ISI special issue on “Linked Open Data” 2018)
Fabien Gandon, Alain Giboin. Paving the WAI: Defining Web-Augmented Interactions,
Web Science 2017 (WebSci17), Jun 2017
Fabien Gandon. The three 'W' of the World Wide Web callfor the three 'M‘ of a
Massively Multidisciplinary Methodology, 10th International Conference, WEBIST
2014.
Fabien Gandon, Michel Buffa, Elena Cabrio, Olivier Corby, Catherine Faron Zucker,
et al. Challenges in Bridging Social Semantics and Formal Semantics on the Web.
International Conference, ICEIS 2013
Fabien Gandon. Combining reactive and deliberative agents for complete ecosystems
in infospheres. IEEE/WIC International Conference on Intelligent Agent Technology
(IAT), Oct 2003
Fabien Gandon. Distributed Artificial Intelligence And Knowledge Management:
Ontologies And Multi-Agent Systems For A Corporate Semantic Web. Web. Université
Nice Sophia Antipolis, PhD Thesis, 2002
HTTP://FABIEN.INFO

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Web science AI and IA

  • 1. Web Science and AI Fabien Gandon, http://fabien.info
  • 3. my (mis)understanding look into the future scoping, imagining state of field strengths and weaknesses research directions blind spots, sweet spots challenges, opportunities talk about my research
  • 4. Web Science and AI • AI for the Web AI  Web – Connectionist AI: clustering, recommending, classifying, indexing, etc. – Symbolic AI: structured querying, reasoning, interoperating, etc. • Web for AI AI Web – Connectionist AI: Datasets, corpus, etc. ; Crowdsourced labelling – Symbolic AI: KR Standards, knowledge bases, etc. • Web and AI AI  Web Web  AI : a topic for Web Science
  • 6. 1994 - … html http url uri iri ataguaagwcagaria mwbpearlra cc/pp assx css ddrsa xml eve. exi geo api dom xform grddl inkml its cmwww ruby an.xhtml rdfa ets omr m. ok emma p3p mathml mf pics qa rif sec cont. sawsdlpng powder sml soap wsdl svg awwwttml smile rdf owlrdfssparql woff webcgm xbl xkms xlinkwscdl wsp skos ns canon. x dtxml xproc xfragxml xbase xschema xml:id xpath xpointer xquery xsignat. xbop xslt xslfo
  • 7. e.g. impact of metamodel changes e.g. philosophical status of the Web names (URIs) web page resource value typed linkshyperlinks
  • 8. meet WeSAI... the Web Science AI watchdog we could create
  • 9. AI-based Web-support “The library will endure; it is the universe. (…) We walk the corridors, searching the shelves and rearranging them, looking for lines of meaning amid leagues of cacophony and incoherence, reading the history of the past and our future, collecting our thoughts and collecting the thoughts of others, and every so often glimpsing mirrors, in which we may recognize creatures of the information.” The Library of Babel --- Jorge Luis Borges
  • 10. to google: transitive verb that means using the Google search engine to obtain information from the Web. Nominal Forms Infinitive: to google Participle: googled Gerund: googling Indicative Present I google you google he googles we google you google they google Perfect I have googled you have googled he has googled we have googled you have googled they have googled Past I googled you googled he googled we googled you googled they googled Pluperfect I had googled you had googled he had googled we had googled you had googled they had googled Future I will google you will google he will google we will google you will google they will google Future perfect I will have googled you will have googled he will have googled we will have googled you will have googled they will have googled Subjunctive Present I google you google he google we google you google they google Perfect I have googled you have googled he have googled we have googled you have googled they have googled Imperfect I googled you googled he googled we googled you googled they googled Pluperfect I had googled you had googled he had googled we had googled you had googled they had googled Conditional Present I would google you would google he would google we would google you would google they would google Perfect I would have googled you would have googled he would have googled we would have googled you would have googled they would have googled Imperative you google we Let´s google you google Progressive (Continuous) Forms Indicative Present I am googling you are googling he is googling we are googling you are googling they are googling Perfect I have been googling you have been googling he has been googling we have been googling you have been googling they have been googling Past I was googling you were googling he was googling we were googling you were googling they were googling Pluperfect I had been googling you had been googling he had been googling we had been googling you had been googling they had been googling Future I will be googling you will be googling he will be googling we will be googling you will be googling they will be googling Future perfect I will have been googling you will have been googling he will have been googling we will have been googling you will have been googling they will have been googling Conditional Present I would be googling you would be googling he would be googling we would be googling you would be googling they would be googling Perfect I would have been googling you would have been googling he would have been googling we would have been googling you would have been googling they would have been googling
  • 11. Autonomy AgentWare Web Researcher, 1996 • dogs as user interface • representing an IR agent • training and retrained neural networks • sent into the Web from PC • left in a kennel: host the agent on a server and go off-line
  • 12. Wikipedia bots • 2 187 bot tasks approved for use on the English Wikipedia • maintain 45 223 137 pages
  • 13. web index: the state of the web country-level data on web usage, readiness, and human impact
  • 14. Is this the Web we really want?
  • 15. new markets e.g. world wide word market
  • 16. Web Robots e.g. AI Watchdogs • generalize the bots of Wikipedia to Web-preserving AI • AI web kennels hosting AIs that study, monitor and report on the Web • a Web science challenge to foster beneficial AI contributions Website Down Alarm (by Tessel)
  • 17.
  • 18. WeSAI could... • detect metrics manipulation • prevent vandalism • report spamming • detect cross language plagiarism • maintain digital divide indicators • perform policy-based / value-based actions • generate links, backlinks, etc. • create navigational content beyond search results • improve resilience • augment browsing experience • …
  • 19. The Rock, by T.S. Eliot, 1934 AI and Web (science) data (science)
  • 21. cultural data as a weapon of mass construction (autonomous “singer robots” are much less dangerous)
  • 22. ALOOF: robots learning by reading on the Web First Object Relation Knowledge Base: 46.212 co-mentions gave 49 tools, 14 rooms, 101 “possible location” relations, Annie cuts the bread in the kitchen with her knife dbp:Knife aloof:Location dbp:Kitchen [Cabrio, Basile et al.]
  • 23. Web&AI-based generation of candidate explanations
  • 24. AI to assist Web Scientists and vice versa • AI to produce, curate, maintain corpora and datasets • AI for quality check, bias detection, etc. • multidisciplinary certification of training sets (quality, trust, prov)
  • 26. WeSAI could... • facilitate data reuse, diffusion, sharing,… • help build datasets, corpora,… • help detect bias, links, relations, etc. • data poor, thin files • inclusion/exclusion, inequality …
  • 28. from the notion of a “Web person” to the notion of a “Web AI”
  • 29. from known pasts to possible futures “Then the answers, instead of coming from my likes and dislikes, come from chance operations, and that has the effect of opening me to possibilities that I hadn't considered. Chance-determined answers will open my mind to the world around.” John Cage, 1985
  • 30. allow for different possible futures not past-driven
  • 31. legalto read or not to read… terms and conditions of web applications 32 241 words18 301 words15 352 words 36 275 words19 972 words11 195 words http://conversation.which.co.uk/technology/length-of-website-terms-and-conditions/ < < < < <
  • 32. 32 AT&T Privacy Bird with chirping privacy indicator by LF CRANOR
  • 33. 33 The sound of (bad) privacyby LF CRANOR
  • 34. 34 Privacy meters in search results Salient privacy information influences purchase decisions J. Tsai, S. Egelman, L. Cranor, and A. Acquisti. The Effect of Online Privacy Informaion on Purchasing Behavior: An Experimental Study. Information Systems Research, 2010. by LF CRANOR
  • 35. ANSWER project: warning on tracking, security,…
  • 36. complex web applications barely visible evolution of the place of humans in = user = processor = data
  • 37. computational context in general • what am I being used for? what am I taking part in? • give me the big “human-computational picture”.
  • 38. active social medias store, process, reuse, enrich, route, manage the information far beyond mere communication
  • 39. over adaptation & filter bubble(c.f. Eli Pariser)
  • 43. AI & WEB for e-learning & serious games [Rodriguez-Rocha, Faron-Zucker et al.]
  • 45. WeSAI could... • maintain customized context description • calls attention to what is exposed & who is seeing • exemplify what can be deduced • make things visible/understandable • burst bubbles, fosters serendipity • help raise awareness, educational level, computer literacy, Web skills • report on neutrality, security etc. • enforce (human) rights • be scrutiny agent for important values
  • 46. AI to help humans face humanity “To see a world in a grain of sand And a heaven in a wild flower, Hold infinity in the palm of your hand, And eternity in an hour. (…)” Auguries of Innocence, William Blake
  • 47. On the Web human individuals face human collectivity design AIs to help humans face humanity (scale, diversity, speed) on the Web
  • 48. Weibo mid 2012: 368 million registered users and 100 million messages each day
  • 49. language and geographical coverage ©Denny Vrandečić
  • 52. goal-driven agents actively participating to online activity
  • 53. « social » bookmark ? massive socialization of objects & activities
  • 54. e.g. sharing more and more • cars (blablacar, zilokaoto, voiturelib) • sailing (vogavecmoi.com, co-navigation.fr, equipier.fr) • taxi (provoiturage.fr) • packages (expediezentrevous.com) • parking (monsieurparking.com) • housing (AirBnB, Couchsurfing) • storage (costockage.fr) • funding (kisskissbankbank, kickstarter) • offices (coworking) • food (colunching.com, cookening.com) • sport (Unlish.com, Cleec.com, kikourou.net) • washing machine (lamachineduvoisin.fr) • clothes (pretachanger.fr, vestiairecollective.com) • worms (réseau lombricompos) …
  • 55. no limit to socializing
  • 56. keep track of our digital shadows in a socio-technical mess
  • 57.
  • 58.
  • 59. WeSAI could... • maintain social overview, detect over-socialization • foster linkage, interactions and convergence • prevent bullying, harassment, suicide,… • protect children, data poor, thin files,… • fight divide, polarization and radicalization • bridge, translate, check, report, augment… posts • act as diplomats (diplomatic AIs on the Web) • remind past events, posts, opinions,… help us with the history /memory • help us scale to the world-wide web scale
  • 61. law of requisite variety “variety absorbs variety” W.R. Ashby
  • 62. Web Science and Distributed AI (multi-agent systems) • “re-decentralize the Web, give everybody his Web site back” TimBL • more than AI : distributed AI – Web should embrace multi agent systems & autonomous agent – Bridge Web Science and AAMAS communities (co-locate?)
  • 63. Heterogeneous AIs Web as a distributed blackboard for many different kinds of AIs (KRR, Learning, etc.) Web
  • 64. public domain Web-based AI architecture
  • 65. Web ways applied to AI e.g. copy-paste based contribution / participation to create AIs
  • 66. WeSAI could... • evolve on the next Web as in a multi-agent system • have a lot of AIs friends with a different skills • have to form collaboration, follow social rules,… • be born, edited, crossed, bred on the Web • socialy maintained, copied, versioned
  • 67. explore and expand the range of forms of intelligence
  • 68. Web Sciences impact of multidisciplinary nature on AI perspective
  • 69. extreme speed dating of multiple disciplines align multidisciplinary facets of AI and Web Science e.g. cognitive approaches of intelligent agents, e.g. social science approaches based on multi-agent systems, e.g. HCI work in each domain, etc.
  • 70. Translate expertise of each domain into AIs that help (assisting, reporting, educating) Computer science, Policy and Law, Network engineering, Economics, Social Science, Psychology, Mathematics, Media studies, etc. Web
  • 73. WiFi-SM Christophe Bruno Wi-Fi device that one can fix on any part of the body, and whose function is to “share the pain of the world” analyzing RSS feeds.
  • 75. Web Science to identify other ways of simulating, reproducing, engaging, … intelligence
  • 76. the intelligence is not in the programming but in the communication and psychological design… think of the Turing Test.
  • 77. Wood Wide Web mycorrhizal networks mycorrhizal network in a forest (van der Heijden et al, 2014)
  • 78. Connected Animals, ACI, Animal-computer interaction, animals accessible interfaces e.g. Herdsourcing: monitoring collective animal behavior
  • 79. Toward a Web of Things
  • 80. WeSAI could... • benefit from WS study of intelligence in the wild • be built from broader definitions of intelligence • be built on new kinds of artificial intelligence • interact with many forms of intelligence • use new intelligent interactions (e.g. AI nudge) // paving the WAI (web augmented interaction)
  • 81. hybrid social constructs & equilibrium
  • 82. EDITS 0 500000 1000000 1500000 2000000 2500000 3000000 3500000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 editors by number of actsWikipedia editors, 2012 0 500000 1000000 1500000 2000000 2500000 3000000 3500000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Humans
  • 83. toward a Web linking, harnessing, combining very different types of intelligence • human intelligence, write access, • Social Web, crowdsourcing, social media, human computing, wisdom of crowd, social intelligence • Webbots, software agents, artificial intelligences, multi-agent systems • Web of Objects, ambient intelligence, ubiquitous Web, smart objects • Herdsourcing, animal intelligence, connected animals
  • 84. Toward a Web of Hybrid Societies • hybrid societies of natural intelligence and artificial intelligence on the Web • study and design these societies, their normative systems, rules, etc. • different forms of intelligence to cooperate including different kinds of AI
  • 85. new types of relations human-webbots
  • 87. human-friendly hybrid societies humans in the loop… but not any loop
  • 88. massive interaction design ergonomics in hybrid web communities
  • 90. Consider a Web of intelligence linking  Web of Animals: connected animals to predict earthquakes  Web of Things, Web of Sensors  Web of AIs: reasoning systems, learning systems, etc.  Web of People: experts from all over the world (i.e. some expert always awake // crowdsourcing & Q&A expert routing) … to form a collective intelligent decision system.
  • 91. Web Science and (AI & IA) two fields born in the 50s: – AI for Artificial Intelligence (McCarthy et al., 1955) – IA for Intelligence Amplification (Ashby, 1956) and Intelligence Augmentation (Engelbart, 1962) build a research program on both and on the worldwide dimension that the Web brings.
  • 92. WeSAI could... • engage in very different form of interactions • handle massive inter-actions • form and manage hybrid societies • be the result of a WebSci & AI & IA joint research
  • 93.
  • 94. Design AI to provide the immune system of the Web “That is why it is so important not only to have excellent treatment but also to try to get back the immune defense, because there you have a natural defense that takes place everywhere.” Luc Montagnier
  • 96. tardigrades Web AIs • 1 ° K / −458 °F / −272 °C  • 420 °K / 300 °F / 150 °C  • Vacuum / High pressure  • Ionizing radiation  • Himalayas / Deep sea  Extremophile
  • 97. world-wide way as the web is spreading in the world, the world is spreading in the web.
  • 98. world-wild web the natural complexity of our world contaminates the web
  • 99. www mmm world wide web massively multidisciplinary method
  • 100. WeSAI could... • defend the values we want to defend • assist the governance we need to setup • maintain visualizations we need to understand • automate part of our methods • help scale multi-disciplinary interactions • build and maintain boundary artefacts • enforce a constructive design of the Web • <YOUR DAGSTHUL IDEA HERE/>
  • 101. “a Web Science research agenda must account for the fact that the long term potential of the Web is to augment and link all forms of intelligence” Peter Steiner, The New Yorker, 1993 Kaamran Hafeez, The New Yorker, 2015 I pass CAPTCHAs, Nobody knows I’m a bot 2018
  • 102. some material I reused Fabien Gandon, A Survey of the First 20 Years of Research on Semantic Web and Linked Data, (To Appear in ISI special issue on “Linked Open Data” 2018) Fabien Gandon, Alain Giboin. Paving the WAI: Defining Web-Augmented Interactions, Web Science 2017 (WebSci17), Jun 2017 Fabien Gandon. The three 'W' of the World Wide Web callfor the three 'M‘ of a Massively Multidisciplinary Methodology, 10th International Conference, WEBIST 2014. Fabien Gandon, Michel Buffa, Elena Cabrio, Olivier Corby, Catherine Faron Zucker, et al. Challenges in Bridging Social Semantics and Formal Semantics on the Web. International Conference, ICEIS 2013 Fabien Gandon. Combining reactive and deliberative agents for complete ecosystems in infospheres. IEEE/WIC International Conference on Intelligent Agent Technology (IAT), Oct 2003 Fabien Gandon. Distributed Artificial Intelligence And Knowledge Management: Ontologies And Multi-Agent Systems For A Corporate Semantic Web. Web. Université Nice Sophia Antipolis, PhD Thesis, 2002 HTTP://FABIEN.INFO