Sami Laine

Sami Laine

Finland
3 t. seuraajat 500+ yhteyttä

Liity seuraamaan

Tietoja

I have worked in data management practitioner, consultant, researcher, and teacher roles…

Panokset

Toiminta

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Kokemus

Koulutus

  • Aalto University Graafinen

    Aalto University

    -

    Activities and Societies: Aallonhuiput ry

    Major: Usability Research
    Minor: Software Engineering

  • -

Lisenssit ja todistukset

Vapaaehtoistoiminta

  • CDOIQ Program Graafinen

    Program Committee Member

    CDOIQ Program

    - 2 vuotta 1 kuukausi

    Tiede ja tekniikka

    I took part in the MIT CDOIQ Symposium 2020-2022 program selection process, co-chaired the international track at 2021 and helped to renew the privacy policy to comply better with the GDPR requirements.

  • DAMA Finland ry Graafinen

    President

    DAMA Finland ry

    - 3 vuotta 11 kuukautta

    Tiede ja tekniikka

    During my terms, the association made a decision to join the TIVIA community, activated collaboration with DAMA EMEA, and started to promote the CDO theme in collaboration with CDOIQ program. In practical level, we renewed the association bylaws, created more systematic administrative practices, and improved compliance to legal requirements and TIVIA network guidelines.

  • DAMA Finland ry Graafinen

    Board Member

    DAMA Finland ry

    -Lahja 10 vuotta 11 kuukautta

    Tiede ja tekniikka

  • Chairman of the Board

    Aalto University Doctoral Student Association (Aallonhuiput Ry)

    - 1 vuosi

    Koulutus

    Leading the association to improve the shared culture of doctoral student community at Aalto University and the well-being and performance of every doctoral student. Representing doctoral students in the Aalto Management Board. During my term, the activism of the association continued to grow and many practices were systematized to a more formal level.

Julkaisut

  • Improving Trustworthiness of AI Solutions: A Qualitative Approach to Support Ethically-Grounded AI Design

    International Journal of Human–Computer Interaction

    Despite recent efforts to make AI systems more transparent, a general lack of trust in such systems still discourages people and organizations from using or adopting them. In this article, we first present our approach for evaluating the trustworthiness of AI solutions from the perspectives of end-user explainability and normative ethics. Then, we illustrate its adoption through a case study involving an AI recommendation system used in a real business setting. The results show that our…

    Despite recent efforts to make AI systems more transparent, a general lack of trust in such systems still discourages people and organizations from using or adopting them. In this article, we first present our approach for evaluating the trustworthiness of AI solutions from the perspectives of end-user explainability and normative ethics. Then, we illustrate its adoption through a case study involving an AI recommendation system used in a real business setting. The results show that our proposed approach allows for the identification of a wide range of practical issues related to AI systems and further supports the formulation of improvement opportunities and generalized design principles. By linking these identified opportunities to ethical considerations, the overall results show that our approach can support the design and development of trustworthy AI solutions and ethically-aligned business improvement.

    Muut tekijät
    Katso julkaisu

  • Transparency of Hospital Productivity Benchmarking in Two Finnish Hospital Districts (Research in Progress)

    Transparency in Healthcare, 29th PCSI Conference

    Healthcare practitioners and researchers have been concerned that currently unrecognized inaccuracies in raw data or systematic biases in hospital benchmarking endanger the validity of management decisions, policy recommendations and statistical research results. Researchers in MIT define Information Production Process (IPP) as a part of the Total Data Quality Management framework. The QUALIDAT-project will trace the entire IPP from the data entry situations to the technical data flows and all…

    Healthcare practitioners and researchers have been concerned that currently unrecognized inaccuracies in raw data or systematic biases in hospital benchmarking endanger the validity of management decisions, policy recommendations and statistical research results. Researchers in MIT define Information Production Process (IPP) as a part of the Total Data Quality Management framework. The QUALIDAT-project will trace the entire IPP from the data entry situations to the technical data flows and all the way to the final decision making scenarios. The aim is first to identify factors affecting the Finnish Hospital Benchmarking results. Later on we will seek ways to support management and development of transparent healthcare information production processes.

    Muut tekijät
    Katso julkaisu

Kurssit

  • Become datawarehousing expert, IIR Finland Oy

    1

  • Certified Scrum Product Owner, Scrum Alliance

    12

  • Data Vault 2.0 Boot Camp

    16

  • Datawarehouses and data modeling, IIR Finland Oy

    3

  • Experian Aperture Data Studio

    15

  • Experian Pandora Data Quality Platform

    13

  • ICT-program management methods, TTL Ry

    2

  • Leading SAFe, Siili Solutions Oyj

    10

  • MS Project Server Administrator, Camako Oy

    5

  • MS SQL Server Analysis Services, Sovelto Oy

    7

  • Master Data Maestro, Profisee Group, inc.

    11

  • Master- and metadata management, IIR Finland Oy

    4

  • Profisee Administrator Certification Course

    14

  • SAP BO Data Integrator, SAP Finland Oy

    6

  • SAP BO Universe Designer, Affecto Academy

    8

  • SAP BO WebIntelligence, Affecto Academy

    9

Projektit

  • Qualidat

    QUALIDAT is a two-year (2012-2014) data quality research project. It is funded by Tekes – the Finnish Funding Agency for Technology and Innovation. The project aims to improve the validity of decisions by creating methods and building knowledge for managing and developing information production processes. To improve the validity of decisions information should be managed transparently across all organizational processes and units to improve its trustworthiness and validity.

    Muut tekijät
    Katso projekti

Kunnianosoitukset ja palkinnot

  • Nordic 100 in Data, Analytics and AI: Data Management, Ethics, Diversity and Regulation.

    The Hyperight Nordic

    The list features Data, Advanced Analytics & AI practitioners or individuals strongly dedicated to supporting the data community and accelerating the Data and AI innovation capabilities in the Nordic region. They are Data and AI practitioners working in midsize companies or enterprises, academics, individuals promoting ideas or actions to increase the maturity in the area, experts in vendor organizations or agencies, governmental initiative representatives, spokesmen, or simply innovators…

    The list features Data, Advanced Analytics & AI practitioners or individuals strongly dedicated to supporting the data community and accelerating the Data and AI innovation capabilities in the Nordic region. They are Data and AI practitioners working in midsize companies or enterprises, academics, individuals promoting ideas or actions to increase the maturity in the area, experts in vendor organizations or agencies, governmental initiative representatives, spokesmen, or simply innovators developing new ways of working, new products or services.

  • Nomination for DAIR Awards AI Ethics Professional of the year 2022

    The Hyperight

    The award will be given to a practitioner that researches and facilitates better understanding of ethics and data protection in AI, and fosters regional efforts in this field. The actual winner of the year 2022 was not me but Virginia Dignum, Professor of Responsible Artificial Intelligence at Umeå University, Sweden and director of WASP-HS, the Wallenberg Program on Humanities and Society for AI, Autonomous Systems and Software, the largest Swedish national research program on fundamental…

    The award will be given to a practitioner that researches and facilitates better understanding of ethics and data protection in AI, and fosters regional efforts in this field. The actual winner of the year 2022 was not me but Virginia Dignum, Professor of Responsible Artificial Intelligence at Umeå University, Sweden and director of WASP-HS, the Wallenberg Program on Humanities and Society for AI, Autonomous Systems and Software, the largest Swedish national research program on fundamental multidisciplinary research on the societal and human impact of AI. She is a member of the Royal Swedish Academy of Engineering Sciences (IVA), and a Fellow of the European Artificial Intelligence Association (EURAI). She is member of the Global Partnership on AI (GPAI), World Economic Forum’s Global Artificial Intelligence Council, Executive Committee of the IEEE Initiative on Ethically Aligned Design, of ALLAI, the Dutch AI Alliance, EU’s High Level Expert Group on Artificial Intelligence, and leader of UNICEF’s guidance for AI and children, member. She is author of “Responsible Artificial Intelligence: developing and using AI in a responsible way”.

  • Quality Foundation Grant

    Vuorineuvos Matti Sundberg Quality Foundation

    The grant is awarded to university teachers or researchers who have achieved success in quality related education or research or persons working in industry who have distinguished themselves in the development, research or education in quality issues.

  • The Best Paper Award in the 29th PCSI Conference

    Patient Classification Systems International

    The paper ‘Transparency of Hospital Productivity Benchmarking in Two Finnish Hospital Districts’ by Sami Laine and Erkka Niemi won the best paper prize in the 29th annual Patient Classification Systems International (PCSI) Conference.

Kielet

  • English

    Ammatillisen kielitaidon perustaso

  • Finnish

    Äidinkielinen tai kaksikielinen

  • Swedish

    Perusteet

  • German

    Perusteet

Organisaatiot

  • DAMA Finland ry

    President, Vice-President, Board Member, Official

    -Lahja

    Board Member from 2014-2017, President 2018-2021, Vice-President 2022-2023, Official 2024-

  • Aalto University Doctoral Student Association

    Chairman of the Board 2015

    -

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