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Future Mundane

Research output: Exhibits, objects and web-based outputs › Artefact

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Future Mundane. Coulton, Paul (Artist); Pilling, Matthew (Artist). 2022. Event: Stories4Policy:, Lancaster University, Lancaster, United Kingdom.

Research output: Exhibits, objects and web-based outputs › Artefact

Harvard

Coulton, P & Pilling, M, Future Mundane, 2022, Artefact.

APA

Coulton, P. (Artist), & Pilling, M. (Artist). (2022). Future Mundane. Artefact

Vancouver

Coulton P (Artist), Pilling M (Artist). Future Mundane 2022.

Author

Coulton, Paul (Artist) ; Pilling, Matthew (Artist). / Future Mundane. [Artefact].

Bibtex

@misc{fd3bcbe7b5a14be9862daa633480c1b6,
title = "Future Mundane",
abstract = "Whilst popular visions of Artificial Intelligence (AI) are often presented through the lens of sentient machines, our increasingly lived experience of AI and Data is more mundane and exemplified by so-called {\textquoteleft}smart{\textquoteright} products and services. Whilst this mundane reality is often presented using design approaches that make their operation appear simple and innocuous, these smart systems, and the data they use and collect, can challenge and even disrupt ordinary expectations. Our ability to manage smart technologies requires designers to move beyond the notion of simplicity within human centred design by adopting principles of legibility, agency and negotiability. How these principles can be manifest in practice is yet to be fully understood and to consider this challenge we have created a mundane experiential future of AI and Data that explores these concepts and is housed in a caravan to provoke discussion with a variety of audiences",
keywords = "design futures, design fiction, artificial intelligence, GDPR",
author = "Paul Coulton and Matthew Pilling",
year = "2022",
month = jul,
day = "6",
language = "English",
note = "Stories4Policy: : Stories4Policy: Speculative futures for engaging with risk and uncertainty ; Conference date: 05-07-2022 Through 06-07-2022",

}

RIS

TY - ADVS

T1 - Future Mundane

A2 - Coulton, Paul

A2 - Pilling, Matthew

PY - 2022/7/6

Y1 - 2022/7/6

N2 - Whilst popular visions of Artificial Intelligence (AI) are often presented through the lens of sentient machines, our increasingly lived experience of AI and Data is more mundane and exemplified by so-called ‘smart’ products and services. Whilst this mundane reality is often presented using design approaches that make their operation appear simple and innocuous, these smart systems, and the data they use and collect, can challenge and even disrupt ordinary expectations. Our ability to manage smart technologies requires designers to move beyond the notion of simplicity within human centred design by adopting principles of legibility, agency and negotiability. How these principles can be manifest in practice is yet to be fully understood and to consider this challenge we have created a mundane experiential future of AI and Data that explores these concepts and is housed in a caravan to provoke discussion with a variety of audiences

AB - Whilst popular visions of Artificial Intelligence (AI) are often presented through the lens of sentient machines, our increasingly lived experience of AI and Data is more mundane and exemplified by so-called ‘smart’ products and services. Whilst this mundane reality is often presented using design approaches that make their operation appear simple and innocuous, these smart systems, and the data they use and collect, can challenge and even disrupt ordinary expectations. Our ability to manage smart technologies requires designers to move beyond the notion of simplicity within human centred design by adopting principles of legibility, agency and negotiability. How these principles can be manifest in practice is yet to be fully understood and to consider this challenge we have created a mundane experiential future of AI and Data that explores these concepts and is housed in a caravan to provoke discussion with a variety of audiences

KW - design futures

KW - design fiction

KW - artificial intelligence

KW - GDPR

M3 - Artefact

T2 - Stories4Policy:

Y2 - 5 July 2022 through 6 July 2022

ER -