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Artificial Intelligence,	Cognitive	Computing	
&	
Innovating in	Practice
Cristina	Mele
University of	Naples Federico	II
Agenda
• Recent	trends
• Artificial	Intelligence	&	Human	Intelligence:	the	need	for	
multidisciplinarity
• A	post-humanist	approach:	from	technology	to	socio-material	practices
• Framing	innovation	as	innovating	in	practice
• A	focus	on	Health
• AI	&	CC	as	enablers	of	a	texture	of	practices
Opportunities
&	Challenges
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”
AI	&	Acquisition
•AI	=	think or	behave … as humans
•Machines over	humans
•Artificial Intelligence	vs	Human	Intelligence
From	latin	intelligentĭa,	….	verb intelligĕre,	”to	understand”	or	verb legĕre,	”read",	with	intŭs,	”inside";	
…who had intelligentĭa was someone able to	“read inside”	or	“go	beyond the	surface”
Intelligence
• AI	&	CC	:	A		multidisciplinary perspective
Technologies	as evolution … not as a	magical artefact
Early technologies from existing primitive technologies as
components. These new Technologies in time become possible
components – building blocks – for the construction of further new
technologies. Some of these in turn go on to become possible
building blocks for the creation of yet newer technologies. In this
way. Slowly over time, many technologies form from an initial few,
an more complex ones from using simpler ones as components.
The overall collection of technologies bootstraps itself upward from
the few to the many and from the simple to the complex. (Arthur,
2009, p. 21)
“We place our hopes in technology. We
hope in technology to make our lives better,
to solve our problems, to get us out of
predicaments, to provide the future we
want for ourselves and our children.
(Arthur,	2009,	p.	11)
There	is	a	need	to	consider	the	impact	that	new	
technologies,	AI	&	CC	have	on	the	social	dimension	and	how	
practices	are	changing	to	increase	well-being.
Socio-material	practices
(a	posthumanist perspective)
• By	adopting	an	overarching	concept	of	service	innovation	as	the	
provision	of	new	benefits	for	market	actors	(Mele	et	al.	2010;	Vargo
and	Lusch 2011)	some	scholars	question	the	linear	traditional	process	
of	innovation	(Chesborugh,	2003)	and	ask	how	market	actors	practice	
innovation	in	the	age	of	uncertainty	and	complexity	(Russo	Spena	and	
Mele	2016;	Mele	and	Russo	Spena	2017).	
From	innovation
(Artifact/	outcome side)	
To	innovating
(the	practice side)
Innovating in	Practice
Innovating in	practice
• The	active	verbal	form	better	reflects	the	emergent	character	of	
innovation	in	service	ecosystems	(Vargo and	Lusch,	2011;	Vargo et	al.,	2015).	
• Verbs	express	“a	pattern,	a	set	of	emergent	phenomena,	a	set	of	
changes	that	may	induce	further	changes”	(Arthur,	2013,	p.	19).	
• Innovating	takes	place	in	social	interaction	and	in	activities
• Innovating	in	practice: “a	collective	doing	that	connects	
knowledgeable	actors”	(Mele	and	Russo-Spena,	2017).
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”
ü From	providers	to	users’	context
üFrom	a	passive	patient	to	an	engaged,	equipped	user/actor
Engaging empowered users/actors
The	river	of	healthcare	is	moving.	People	
are	taking	health	into	their	own	hands.	
The	center	of	gravity	of	healthcare	has	
moved	from	hospitals	to	patients	and	
from	clinics	to	the	home.	Now	it	is	
mobile.	Actors	uses	devices	and	collect	
data	on	their	health	and	wellbeing	and	
store	information	wherever	they	are	
(home,	office,	etc.)
In	the	past,	to	do		medical exams
people had to	book	a	visit with	their
doctor,	then go	into a		specialized
medical center		or		hospital	to	do	
exams.
Before
NOW
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”
Before
NOW
Widening A2A	interactions
ü From	dyadic	to	networked	/	ecosystemic
ü From	asymmetric	to	more	balanced	
To	have	different		specialized	consultation	
patients	could	meet	just	one	physician		at	
once,	then	book	another	visit	with	another	
doctor	and	so	on
Ai	&	CC	give	the	possibility	to	actors	to	get	remote	help	
from	experts.	They	can	transmit	real-time	video	and	
snapshot	with	specialized	doctors	 in	order	to	have	a	
consultation	about	the	patient	emergency	situation	in	
realtime.	
AI	&	CC	enable	to	create	a	virtual	clinical	environment	
providing	patients	with	basic	information	and	
specialists	clinical	consultation	to	enable	them	to	
operate	virtually	except	for	what	it	involves	touching	
the	patient.	The	patients,	and	his/her	family	members	
can	get	in	touch	with		more	than	one	specialized	
physicians		at	the	same	time
Buoyuses	artificial	intelligence	to	resemble	a	
chat	with	your	favourite	doctor,	where	you	get	
an	accurate	analysis	of	your	symptoms	and	what	
to	do
We	designed	Buoy’s	artificial	intelligence	to	
deliver	a	personalized	and	more	accurate	
analysis	of	your	symptoms.
Our	virtual	assistant	answers	medical	and	health	questions	for	
consumers	and	doctors	instantly.		The	idea	behind	cognitive	
computing,	or	artificial	intelligence,	is	that	our	computer	
learns	by	doing,	getting	at	its	tasks	better	over	time	by	
crunching	more	medical	information
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”
Involving new	and	knowledgeable	actors
Devices
providers
Hospitals
Users
Health
intermediari
es
Emergency	
Departme
nt
Doctors
Operational
Center
Medical staff
Caregivers
AI	&	CC	offer		a	number	of	exciting	
potential	applications	for	patient	care,	I	
really	think	this	could	transform		both	
what	we	do	and	how	we	do	it.	These	
technologies		could		really		have		a		major		
impact		on		how		we		practice	medicine
(a	quote	from	a	doctor)	
Bay Labs is at the forefront of bringing deep learning advances
to critical unsolved problems in healthcare. We have assembled
an exceptional team of clinicians, engineers, and scientists who
are developing breakthrough technologies in cardiovascular
imaging and care to combat heart disease, the leading cause of
death worldwide.
The	doctors	and	researchers	had	to	meet	
patients	in	their	office	to	study	and	research	
parameters	linked	to	episodes	of	illness.	
Taking	into	consideration	the	events	related	
to	illness	episodes,	physicians	could	observe	
only	data	recorded	during	the	visit,	and	if	
something	happened	when	the	patient	was	
outside	of	the	health	centre	it	was	impossible	
to	study	the	symptoms.
üFrom	Knowledge	as	object	to	knowledge	as	activity	
üContinuous,	real-time	data	acquisition in	daily life
ü Advance	understanding of	human	behavior in	real life	settings
Through	AI	&	CC,	knowledge	is	co-created	through	
continuous	and	real-time	observation	of	healthcare	
parameters,	thereby	advancing	understanding	of	human	
behaviour	in	real-life	settings.
Doctors	can	first	of	all	detect	seizures	every	time	they	
happen;	in	addition,	they	can	correlate	seizures	to	
symptoms	and	help	identify	whether	there	are	certain	
factors	that	influence	them.	Data	become	richer	as	they	
include	new	information	about	wearer,	viz.	health	
parameters,	enabling	the	decision	makers	(e.g.,	doctors	
or	physicians)	to	obtain	a	full	understanding	of	the	
meaning	behind	the	data	collected.
Before
NOW
Knowing	in	action
….more	comprehensive	situational	awareness.	……apply	knowledge	to	
data	enables	it	to	more	quickly	and	effectively	extract	knowledge	from	
data.	….use	reasoning	and	thoughtful	user	experience	to	clear	away	the	
ambiguity	and	pinpoint	the	truth.	…..help	assist	people's	actions	and	
enable	them	to	make	timely	and	informed	decisions.
With	AI	&CC	researchers	and	doctors	have	
continuous	data	and	a	more	complete	
understanding	of	the	phenomenon	thanks	to	
data	recorded	by	patients.	Patients	can	record	
and	keep	track	of	their	own	data.	These	data	can	
serve	as	a	starting	point	to	give	patients	more	
control	of	their	health and	provide	physicians	
information	on	daily	habits.	Such	information	
can	be	analyzed by	AI	&	CC	potentially	catching	
problems	before	they	start.
Resourcing	in	interactions	
Doctors	had	to	search	patient	information	
and	medical	history	in	a	folder,	which	was	
physically	and/or	electronically	stored,	
spending	a	great	amount	of	time.	In	
addition,	if	patients	needed	different	
specialised	consultation	he	should	met	just	
one	physician	at	once,	and	then	should	book	
another	visit	with	another	doctor,	and	so	on.
Before
NOW
üKnowing emerges	through	human	and	non	human	interaction
The	active brain	trainer	
Intendu is a	functional brain-body	training	console	for	people with	brain	
impairments.	It was designed by	an	interdisciplinary team	of	
neuroscientists,	rehabilitation clinicians,	computer	scientists and	gaming
experts,	creating an	unparalleled training	tool for	home	use	that adds to	
the	user’s rehabilitation process.	Intendu’s life-simulating games	focus	on	8	
main cognitive	functions
ü From	space	constraints	to	everywhere
ü From	time	constraints	to	real	time
Overcoming time/space constrains
People	have	always	a	doctor	wherever	they	
are.	They	can	have	a		consultation		through		
audio-video		communication		devices		without		
moving		from	home,	also	during	the	night	or	
holidays	when	the	personal	doctor	is	not	
available.		As	the	parameters		are		
continuously		monitored,		in		case		of	
anomalies		users		can		have		an		home		visit		or		
in	emergency		cases		an	ambulance.		In	
addition,		the	Medical	Passport	is	recorded	
and	all	data	can	be	shared.
To	have	a		consultation		people		were		
obliged		to	go		to		the		doctor		during		
work-hours,			if		something		happen		
during		the	night		or		holidays		or		
when	the		doctor’s		office		was	closed	
people	had	to	go	at	hospital	and	wait	
for	their	turn,	also	for	hours	if	it	was	
not	an	emergency.
Before
NOW
“Artificial Intelligence, Cognitive Computing and Innovating in Practice”
• From	the	arefacts to	a	collective	doing	that	connects	knowledgeable	actors	(doctors,	
patients,	health intermediaries,	caregivers,	ecc.).	
• Innovating emerges as constantly co-constructed by	connections-in-action	involving	both	
humans	and	non-human	interwoven	in	a	texture	of	interconnected	practices.	
• Knowing +	Networking	=	a	texture;	
AI,	CC	&	Innovating in	practice
N
E
T
W
O
R
K
I
N
G
K N O W I N G
Engaging empowered users/actors
Widening A2A	interactions
Involving new	and	knowledgeable actors
Knowing in	action
Resourcing in	interaction
Overcoming time/space constrains
Democratizing	health		
• The	healthcare	moves	from	hospitals	to	homes,	from	passive	patients	to	
empowered	and	proactive	patients	to	knowledgeable	actors
• Health	ecosystem.	This	includes	family,	friends,	and	alternative	healthcare		
providers		as		well		as		a		host		of		wellness		services.	
• A	human-centred		suite	of		devices	using	AI	&CC	to	empower	everyday	people	to	
monitor	and	better	understand	their	health	anytime,	anywhere.
Improving	wellbeing
• AI	&	CC	are	not	only	technology	improvements	but	are	resources	within	actors’	
activities	and	A2A	relationships
• AI,	CC,	smart	devices	as	resources	to	be	integrated	… enabling	new	practices		
A	new	healthcare?
• Understand	the	technology/social	role	of	AI	&	CC
• Design	new	roles	for	actors	by	increasing	their	knowledgeability	
• Enabling	networking	and	knowing
Challenges
• Emergent problem of	responsibility (hospital,	doctor,	user,	other
health service	providers,	etc.)
• New	problems of	security,	privacy,	etc.
• Normative	practices
• …….	
Implications
Research Group		
at Department of	Economics,	Management,	Institutions
University of	Naples Federico	II
Chaired by
Cristina	Mele																	cristina.mele@unina.it
Tiziana	Russo	Spena					tiziana.russospena@unina.it

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