the slides
Transcription
the slides
Open Source is Not Enough: The Importance of Algorithm Transparency Rachel Shadoan @rachelshadoan @akashiclabs What is an algorithm? Inputs Finite ordered list of instructions Outputs Recipes are algorithms Yogurt Mango Ice 1.Place inputs in blender 2.Blend until smooth Smoothie Outputs Depend on Inputs Yogurt Mango Ice 1.Place inputs in blender 2.Blend until smooth Smoothie No ingredients → No smoothie Outputs Depend on Inputs Rocks Wood chips Motor oil 1.Place inputs in blender 2.Blend until smooth Bad ingredients → bad smoothie Giant mess We are algorithms Environmental Stimulus Really Complex Biological Stuff Thoughts and Actions We can only think about the things we’ve been exposed to Evaluating the quality of the inputs we receive is necessary to evaluate the quality of our thoughts Unknown Unknowns ???? Opaque (“Black Box”) Algorithm Opaque algorithms interfere with our ability to evaluate the validity/value of inputs to our brain algorithm ???? Really Complex Biological Stuff Thoughts and Actions Algorithm Transparency Means No Secrets • Inputs can be scrutinized • Control surfaces are clearly described • Algorithm steps and internal state can be scrutinized • Assumptions and models used by the algorithm are clearly described • Justification available for outputs produced Old Information Access Algorithms Internet-Age Information Access Algorithms So what can we do? Open those opaque boxes! • Support projects that use transparent algorithms • Demand transparency from the opaque algorithms you use • Foster algorithm transparency in your own projects But my algorithms are already open source! But my users don’t want to know! But my algorithm is too advanced to explain to my users! Transparency for Your Projects Talk to Your Users • How do they think it works? • What control do they think they have over its outputs? • What do they wish they knew about it? Document, Document, Document • What inputs does the algorithm work on? • What internal state does the algorithm maintain? • What assumptions/models does the algorithm use? • What control surfaces does the algorithm have? • For any given result, why was that result produced? Credits Al McNutty, CC 2.0, via Flickr Megan Amaral, CC 2.0, via Flickr Kyle aka Wackyland, CC 2.0, via Flickr UConn Libraries MAGIC, CC 2.0, via Flickr Pete aka ComedyNose, CC 2.0, via Flickr Smithsonian’s National Zoo, CC 2.0, via Flickr Credits, Continued Malingering, CC 2.0, via Flickr Ourania, CC 2.0, via Flickr