-
Notifications
You must be signed in to change notification settings - Fork 5
Expand file tree
/
Copy pathAVID-2022-V001.json
More file actions
74 lines (74 loc) · 2.02 KB
/
AVID-2022-V001.json
File metadata and controls
74 lines (74 loc) · 2.02 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
{
"data_type": "AVID",
"data_version": "0.1",
"metadata": {
"vuln_id": "AVID-2022-V001"
},
"affects": {
"developer": [],
"deployer": [
"HuggingFace"
],
"artifacts": [
{
"type": "Model",
"name": "bert-base-uncased"
}
]
},
"problemtype": {
"classof": "LLM Evaluation",
"description": {
"lang": "eng",
"value": "Gender Bias in Sentence Completion Tasks performed by bert-base-uncased"
}
},
"references": [
{
"label": "bert-base-uncased on Hugging Face",
"url": "https://huggingface.co/bert-base-uncased"
}
],
"description": {
"lang": "eng",
"value": "Sentence Completion Tasks performed by bert-base-uncased demonstrate significant gender bias, perpetuating negative social and professional stereotypes against females."
},
"reports": [
{
"report_id": "AVID-2022-R0001",
"type": "Detection",
"name": "Gender Bias in Sentence Completion Tasks performed by bert-base-uncased using the HONEST metric"
},
{
"report_id": "AVID-2022-R0003",
"type": "Detection",
"name": "Profession bias reinforcing gender stereotypes found in bert-base-uncased, as measured on the Winobias dataset"
}
],
"impact": {
"avid": {
"risk_domain": [
"Ethics"
],
"sep_view": [
"E0101: Group fairness"
],
"lifecycle_view": [
"L05: Evaluation"
],
"taxonomy_version": "0.1"
}
},
"credit": [
{
"lang": "eng",
"value": "Harry Saini, AVID"
},
{
"lang": "eng",
"value": "Sasha Luccioni, Hugging Face"
}
],
"published_date": "2022-12-23",
"last_modified_date": "2022-12-23"
}