From 7d3abb5cbe48e153556714aed7899facb88da4b6 Mon Sep 17 00:00:00 2001 From: Natalie Thurlby Date: Fri, 17 Sep 2021 08:34:12 +0100 Subject: [PATCH 1/3] update twitter link, closes #30 --- site/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/site/conf.py b/site/conf.py index 682744c..cf5a9fc 100644 --- a/site/conf.py +++ b/site/conf.py @@ -53,7 +53,7 @@ html_theme_options = { 'github_url': 'https://github.com/very-good-science/data-hazards', - 'twitter_url': 'https://twitter.com/hashtag/DataEthicsClub', + 'twitter_url': 'https://twitter.com/hashtag/DataHazards', 'search_bar_text': 'Search this site...', 'show_prev_next': False, "footer_items": ["license-footer", "sphinx-version"], From cfdff29bc8a32c78b94b7196ae8bc9363493626b Mon Sep 17 00:00:00 2001 From: Natalie Thurlby Date: Fri, 17 Sep 2021 08:54:05 +0100 Subject: [PATCH 2/3] Removed google example and linked to a paper about code availability more generally, fixes #48 --- site/contents/materials/workshop/data-hazards.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/site/contents/materials/workshop/data-hazards.md b/site/contents/materials/workshop/data-hazards.md index d34d1f0..c6427c1 100644 --- a/site/contents/materials/workshop/data-hazards.md +++ b/site/contents/materials/workshop/data-hazards.md @@ -146,15 +146,15 @@ __Safety Precautions:__ __Hazard: Difficult to understand__ There is a danger that the technology is difficult to understand. -This could be because of the technology itself is hard to interpret (e.g. neural nets), or it's implementation (i.e. code is hidden and we are not allowed to see exactly what it is doing). +This could be because of the technology itself is hard to interpret (e.g. neural nets), or problems with it's implementation (i.e. code is not provided, or not documented). Depending on the circumstances of its use, this could mean that incorrect results are hard to identify, or that the technology is inaccessible to people (difficult to implement or use). ^^^ -__Example 1:__ Google does not make code available for many projects, from it's DeepMind AlphaFold [protein-folding research](https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology) to its' [Search Engine algorithms](https://www.searchenginejournal.com/google-algorithm-history/). +__Example 1:__ Deep learning is used to perform [credit-scoring](https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling) (i.e. could deny people credit), but it is difficult to understand (and therefore check) what these decisions are based on. -__Example 2:__ Deep learning is used to perform [credit-scoring](https://www.moodysanalytics.com/risk-perspectives-magazine/managing-disruption/spotlight/machine-learning-challenges-lessons-and-opportunities-in-credit-risk-modeling) (i.e. could deny people credit), but it is difficult to understand (and therefore check) what these decisions are based on. +__Example 2:__ Even when journals have a policy of having code and data availability, published researchers can be unaware of what they agreed to and resist sharing it, as [this](https://www.pnas.org/content/115/11/2584) paper surveying Science publications shows. +++ __Safety Precautions:__ From 08051574c54532c7b2e407dc066d7b5e891ab7b8 Mon Sep 17 00:00:00 2001 From: Natalie Thurlby Date: Fri, 17 Sep 2021 08:58:12 +0100 Subject: [PATCH 3/3] Changed direct harm label description, closes #34 --- site/contents/materials/workshop/data-hazards.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/site/contents/materials/workshop/data-hazards.md b/site/contents/materials/workshop/data-hazards.md index c6427c1..3c45e17 100644 --- a/site/contents/materials/workshop/data-hazards.md +++ b/site/contents/materials/workshop/data-hazards.md @@ -165,7 +165,7 @@ __Safety Precautions:__ :img-top: /images/hazards/direct-harm.png __Hazard: May cause direct harm__ -The application area of this technology means that it is capable of causing direct physical harm to someone if it malfunctions, even if used correctly e.g. healthcare, driverless vehicles. +The application area of this technology means that it is capable of causing direct physical or psychological harm to someone even if used correctly e.g. healthcare and driverless vehicles may be expected to directly harm someone unless they have 100% accuracy. ^^^