Lightening Workshop: Gender mirroring bots & Turing test
- SSBA Salon
- w/ Leanne Wijnsma, Magarita Osipian, Hackers & Designers
How to overcome gender discrimination by building and training chat bots? Workshop and discussion in the context of Rendering Realities exhibition
The Smell of Data is a scent developed to instinctively alert of data leaks on networked personal devices. The sense of smell helped early humans to survive. But now that our hunting and gathering has moved to the digital environment, our noses can no longer warn us of the lurking dangers in the online wilderness. Leanne Wijnsma will present her work, the series of prototypes it took to get to the final product, and her process and inspiration on giving a scent to data.
In the context of Rendering Realities (Big Brother Awards exhibition) of the Big Brother Awards Hackers & Designers invited the audience to discuss and experience their gender mirrored by chat bots. During the workshop bots were trained collectively on the spot, engaging the audience in a discussion on assigned gender roles and their reflection in digital applications. In order to compose new strategies to overcome online discrimination, that go beyond using initials only as female, H&D proposed to collectively comprehend the controversy, while training different bots and analysing them using the Turing test.
The following steps should be used if you would like to run the bots as the Hackers & Designers terminals did during the workshop.
Ensure you have Python 2.7.* installed.
Ensure you have Python's package manager pip installed.
Start by install Gunther Cox's Chatterbot via pip. This will ensure you get most of the dependencies.
$ sudo pip install chatterbot
Optionally you can install python Levenshtein if you don't want a warning message while running the bots.
$ sudo pip install python-levenshtein
The bots do use a bit of Python's natural language package (nltk), so download the following database.
$ python -m textblob.download_corpora
Ensure you have git installed to grab the code from Github.
Clone the Chatterbot repository from Github.
$ git clone firstname.lastname@example.org:hackersanddesigners/ChatterBot.git
Run the bot.
$ cd Chatterbot
$ python bot.py
After training the bot, we "turned off" learning by commenting out a line of code. Open the file with your favourite text editor, in the workshop we used nano.
$ nano chatterbot/chatterbot.py
The line is around line number 207, and looks like this:
In python a comment is "#", so the line should look like:
Save the file. In nano Ctrl+O, then Ctrl+X.
Run the bot again:
$ python bot.py