The primary target audience for these models are researchers dedicated to identifying biased language in job descriptions.
Out-of-Scope Use
Due to the limitations inherent in large-scale language models, they should not be utilised in applications requiring factual or accurate outputs. These models do not distinguish between fact and fiction, and implicit biases are inherently subjective.
Moreover, as language models mirror the biases present in their training data, they should not be deployed in systems that directly interact with humans unless the deployers have first conducted a thorough analysis of relevant biases for the specific use case.
Bias, Risks, and Limitations
It is imperative that all users, both direct and downstream, are aware of the risks, biases, and limitations associated with this model. Important considerations include:
Bias in Training Data: The model may inherit and perpetuate biases from the data it was trained on.
Subjectivity of Bias: Bias detection is inherently subjective, and perceptions of bias can differ across contexts and users.
Accuracy Concerns: The model’s outputs are not guaranteed to be true or accurate, making it unsuitable for applications that require reliable information.
Human Interaction Risks: When incorporated into systems that interact with humans, the model’s biases may affect interactions and decision-making, potentially leading to unintended consequences.
It is crucial for users to conduct comprehensive evaluations and consider these factors when applying the model in any context.
How to Get Started with the Model
Use the code below to get started with the model.
```python
from transformers import pipeline
pipe = pipeline("text-classification", model="2024-mcm-everitt-ryan/Phi-3-mini-4k-instruct-job-bias-qlora-seq-cls", return_all_scores=True)
results = pipe("Join our dynamic and fast-paced team as a Junior Marketing Specialist. We seek a tech-savvy and energetic individual who thrives in a vibrant environment. Ideal candidates are digital natives with a fresh perspective, ready to adapt quickly to new trends. You should have recent experience in social media strategies and a strong understanding of current digital marketing tools. We're looking for someone with a youthful mindset, eager to bring innovative ideas to our young and ambitious team. If you're a recent graduate or early in your career, this opportunity is perfect for you!")
print(results)
```
>> [[
{'label': 'age', 'score': 0.9883460402488708},
{'label': 'disability', 'score': 0.00787709467113018},
{'label': 'feminine', 'score': 0.007224376779049635},
{'label': 'general', 'score': 0.09967829287052155},
{'label': 'masculine', 'score': 0.0035264550242573023},
{'label': 'racial', 'score': 0.014618005603551865},
{'label': 'sexuality', 'score': 0.005568435415625572}
]]
