10.6092/issn.2038-3460/17492
application/pdf
2038-3460
17492
1
en
Automato.farm
https://creativecommons.org/licenses/by-nc-sa/2.5/
Tecnoscienza – Italian Journal of Science & Technology Studies
Believe it Yourself: BIY.SEE (Cover’s Comment)
Text.Serial.Journal
https://tecnoscienza.unibo.it/
12
Editorial
2021-11-01
2023-06-27
2021-11-01
2023-10-19
TS
Automato.farm
2021/11/01
10.6092/issn.2038-3460/17492
2038-3460
1
en
Believe it Yourself: BIY.SEE (Cover’s Comment)
https://tecnoscienza.unibo.it/article/download/17492/16338
12
                                                      Cover’s comment


Believe it Yourself: BIY.SEE (2018) by Automato.farm

“Believe it Yourself” (BIY) is a series of Arduino-based speculative tech-
nologies that enables users to explore and experiment with the topic of
“Superstition”. The three boards composing the series – BIY.MOVE,
BIY.SEE, and BIY.HEAR – use machine learning techniques such as
object recognition, natural language processing, and context/location
awareness to translate vernacular knowledge and beliefs about luck, des-
tiny, and harmony into playful electronics kits. The boards are trained
with subjective judgements and biased data grounded on three different
cultures – fortune telling from Italy, geomancy from China, and numerol-
ogy from India – and turn them into objective measures and potential
truths, enabling technology to detect signs that prove users’ superstitions.
As the creators of BIY put it: “As we tend to believe what machines say
without often questioning them, now we can at least make machines that
believe what we might believe in.”.

http://automato.farm/portfolio/believe_it_yourself/

Photocredit: automato.farm (2018)
