Modeling needs user modeling

Mustafa Mert Çelikok; Pierre Alexandre Murena; Samuel Kaski

doi:10.3389/frai.2023.1097891

Modeling needs user modeling

Mustafa Mert Çelikok
, Pierre Alexandre Murena
, Samuel Kaski^*

^*Tämän työn vastaava kirjoittaja

Univ Manchester, Jodrell Bank Centre for Astrophysics, University of Manchester, Sch Phys & Astron, Jodrell Bank Ctr Astrophys

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

57 Lataukset (Pure)

Abstrakti

Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.

Alkuperäiskieli	Englanti
Artikkeli	1097891
Sivut	1-6
Sivumäärä	6
Julkaisu	Frontiers in Artificial Intelligence
Vuosikerta	6
DOI - pysyväislinkit	https://doi.org/10.3389/frai.2023.1097891
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI and decision 345604) Humane-AI-NET and ELISE Networks of Excellence Centres (EU Horizon: 2020 grant agreements 952026 and 951847), UKRI Turing AI World-Leading Researcher Fellowship (EP/W002973/1), and a KAUTE Foundation personal grant for MÇ.

Pääsy asiakirjaan

10.3389/frai.2023.1097891Lisenssi: CC BY

Modeling needs user modelingFinal published version, 1 MBLisenssi: CC BY

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

MAMAA /Kaski S.: Maximally Autonomous AI Assistant/Kaski S.
Kaski, S. (Vastuullinen johtaja), Hämäläinen, A. (Projektin jäsen), Howes, A. (Projektin jäsen), Khoshvishkaie, A. (Projektin jäsen), De Peuter, S. (Projektin jäsen), Guo, Y. (Projektin jäsen), Le, D. (Projektin jäsen), Ibrahim, N. (Projektin jäsen), Välimaa, I. (Projektin jäsen) & Zhang, Y. (Projektin jäsen)
01/01/2022 → 31/12/2024
Projekti: RCF Academy Project targeted call
ELISE: European Learning and Intelligent Systems Excellence
Kaski, S. (Vastuullinen johtaja), Heinäsmäki, S. (Projektin jäsen) & Ylöstalo, T. (Projektin jäsen)
01/09/2020 → 31/08/2024
Projekti: EU H2020 Framework program
HumanE-AI-Net: HumanE AI Network
Oulasvirta, A. (Vastuullinen johtaja), Welsch, R. (Projektin jäsen), Pfau, T. (Projektin jäsen), Todi, K. (Projektin jäsen), Bui, B. (Projektin jäsen), Haavisto, O. (Projektin jäsen), Kloft, A. (Projektin jäsen), Firooz, H. (Projektin jäsen), Hämäläinen, A. (Projektin jäsen), Ibrahim, N. (Projektin jäsen), Zhu, Y. (Projektin jäsen), Khoshvishkaie, A. (Projektin jäsen), Mikkola, P. (Projektin jäsen) & Kaski, S. (Co-PI)
01/09/2020 → 31/08/2024
Projekti: EU H2020 Framework program

Siteeraa tätä

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title = "Modeling needs user modeling",

abstract = "Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.",

keywords = "AI assistance, human-centric artificial intelligence, human–AI collaboration, human–AI interaction, machine learning, probabilistic modeling, user modeling",

author = "{\c C}elikok, \{Mustafa Mert\} and Murena, \{Pierre Alexandre\} and Samuel Kaski",

note = "Funding Information: This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI and decision 345604) Humane-AI-NET and ELISE Networks of Excellence Centres (EU Horizon: 2020 grant agreements 952026 and 951847), UKRI Turing AI World-Leading Researcher Fellowship (EP/W002973/1), and a KAUTE Foundation personal grant for M{\c C}. | openaire: EC/H2020/952026/EU//HumanE-AI-Net | openaire: EC/H2020/951847/EU//ELISE ",

year = "2023",

doi = "10.3389/frai.2023.1097891",

language = "English",

volume = "6",

pages = "1--6",

journal = "Frontiers in Artificial Intelligence",

issn = "2624-8212",

publisher = "Frontiers Media",

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TY - JOUR

T1 - Modeling needs user modeling

AU - Çelikok, Mustafa Mert

AU - Murena, Pierre Alexandre

AU - Kaski, Samuel

N1 - Funding Information: This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI and decision 345604) Humane-AI-NET and ELISE Networks of Excellence Centres (EU Horizon: 2020 grant agreements 952026 and 951847), UKRI Turing AI World-Leading Researcher Fellowship (EP/W002973/1), and a KAUTE Foundation personal grant for MÇ. | openaire: EC/H2020/952026/EU//HumanE-AI-Net | openaire: EC/H2020/951847/EU//ELISE

PY - 2023

Y1 - 2023

N2 - Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.

AB - Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.

KW - AI assistance

KW - human-centric artificial intelligence

KW - human–AI collaboration

KW - human–AI interaction

KW - machine learning

KW - probabilistic modeling

KW - user modeling

UR - https://www.scopus.com/pages/publications/85153508715

U2 - 10.3389/frai.2023.1097891

DO - 10.3389/frai.2023.1097891

M3 - Article

AN - SCOPUS:85153508715

SN - 2624-8212

VL - 6

SP - 1

EP - 6

JO - Frontiers in Artificial Intelligence

JF - Frontiers in Artificial Intelligence

M1 - 1097891

ER -

Modeling needs user modeling

Abstrakti

Rahoitus

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

MAMAA /Kaski S.: Maximally Autonomous AI Assistant/Kaski S.

ELISE: European Learning and Intelligent Systems Excellence

HumanE-AI-Net: HumanE AI Network

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