INTERNET OF THINGS, HISTORIA OCH

TILLÄMPNINGARKary Främling, Professor i

Datavetenskap

FRÅN SAKERNAS INTERNET TILLINTELLIGENTA PRODUKTER

Transp.comp. B Transp.comp. A Destination Transp.comp. C

Set ID@URI

ID@URI

Manufacturer’s tracking agent at URI

Location updates

Manufacturer ID@URI

ID@URI

ID@URI

Virtual Counterpart (Digital Twin) år 2003Internet of Things (IoT) år 2002FRÄMLING, Kary, HOLMSTRÖM, Jan, ALA-RISKU, Timo, KÄRKKAINEN, Mikko. Product agents for handling information about physical objects . Report of Laboratory of Information Processing Science series B, TKO-B 153/03, Helsinki University of Technology, 2003. 20 p.

LITE INTELLIGENTARE PRODUKTERElectrical motor, manufactured by XXX, previous maintenance ...

Pizza containing ..., last date of use ..., heat oneminute at 600W

Bus stop XXX, next bus toyour destination arrives in three minutesHur vi gjorde IoT år 2002

SMARTA(RE) BILAR

2005

SMARTA HUSHÅLLSMASKINER

2007

House owner, inhabitants

Power monitoring

Weather station

Smart Grid

Local power production

Ventilation, refrigerators, ...

Energy prices, forecasts, control commands etc.

Data acquisition, visualisation, analysis, control, etc. (server/cloud)

SMARTA HUS 2009

SMARTARE BRUK AV FORDON

2010

SMARTARE TILLVERKNING

QualityManager

ProductionEngineer

FactoryOperator

O-MI Node

O-MI Node

Historical data for analysis

Error alarmmessage to remedy the errorimmediately

Monitor realtime data

O-MI Node

O-MI Node

Data from otherlifecycle phases

and sourcesEvent Detection

2013

SMARTA STÄDER 2016

SMART HUS TALAR MED SMART BIL I EN SMART STAD

2018

SMART BIL KOMMERTILL SMART STAD

Street temperature is…

Just drove into pothole!

ESP system activated, slippery!!

Find parking place close to …

Need to charge my EV battery, N kWh…

Parking/ EV charging placereserved…

Slippery 100 meters ahead!

Hole in road 100 meters ahead!

School children crossing in 5 minutes, change route!2020

• Varför nekades jag kredit?• Varför körde du på cyklisten, autonoma bil?• Varför får jag sådan här reklam?• Explainable AI

INTELLIGENS KRÄVER SJÄLVINSIKT

20??

• Utvecklades i Kary Främlingsdoktorsavhandling 1996

• Kan tillämpas på vilken typs ”Black Box AI” som helst

• Matematiska begrepp som har sinbakgrund i klassisk beslutsfattningsteori

• Möjligt att använda lämpligterminologi enligt användare ochsituation

• Förklaringar kan också vara visuella, via vibrationer, ljud, …

• Går också att förklara med olikanivåer av abstraktion

CONTEXTUAL IMPORTANCEAND UTILITY

Price (x1)

Room (x2)Location (x3)

Food (x4)

Hotel 1 (y=0.75)Hotel 2 (y=0.18)

Hotel 3(y=0.07)

∑

∑

∑

.

.

.

.

.

y1

y2

y3

x2

x1

x3

x4

Criteria

Black-box model

Recommendations

CIU Explainer Hotel 1 is recommended because it has a very good room with fair price.

The location of the hotel and food are ranked above average.

Hotel 2 is NOT recommended becausewhile, it has an excellent room

with an attractive price, The location of the hotel and food

are ranked very poor.

Hotel 1 versus Hotel 2

Visual and text-based explanations

PriceLocation

FoodRoom

Price Location

FoodRoom

I can explain!

Anjomshoae, Främling, Najjar. Explanations of Black-Box Model Predictions by Contextual Importance and Utility. Submitted to Explainable AI Workshop of AAMAS 2019 conference.

SMARTARE OCH BÄTTRE SAMHÄLLE?