Openness
Does (Open Code && Open Data) == Trustworthy?
March 17, 2021
2:30 PM – 3:30 PM Add to calendar
2:30 PM – 3:30 PM Add to calendar
Zoom Room 3A
None
With so many badly designed computer programs and unethical data re-use over the last few years, "algorithm" has become a dirty word that reflects misuse of data and poorly justified discriminatory machine-based decisions. Opening the code that makes these decisions allows us to inspect what's going on, but does it become any more trustworthy?
Using both written and spoken break-out rooms for maximum inclusivity, we will facilitate discussion on:
- What is required to make code and algorithms trustworthy? Is open code enough?
- Are there quick "trustworthiness" wins for hesitant coders? (or sneaky bad actors?)
- It will also delve into stickier topics: Is badly written (but open source) computer code more or less trustworthy than closed code?
- What's the future you'd like to see, and who needs to do what to get us there?
Additional information
| Type | Discussion - Capped |
|---|---|
| Language | English |
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