| --- |
| library_name: transformers |
| tags: |
| - text-classification |
| - ai-governance |
| - risk-classification |
| - nlp |
| - roberta |
| - eu-ai-act |
| license: mit |
| language: |
| - en |
| --- |
| |
| # AI Risk Classifier (RoBERTa) |
| AI use case classifier that distinguishes between informational use, decision influence, automated decision-making, and potentially harmful AI practices. |
| This model was selected after experimenting with a DistilBERT baseline. |
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| ## Model Details |
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| This model classifies AI use cases into risk categories inspired by EU AI governance concepts. |
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| It is designed to distinguish how AI systems impact people, based on their role in decision-making processes. |
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| The model categorizes AI use cases into four classes: |
| - Lower Risk (informational use) |
| - Possible High Risk (decision influence) |
| - Likely High Risk (decision impact) |
| - Potentially Prohibited (harmful or unfair practices) |
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| This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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| - **Developed by:** BKlein Digital Labs |
| - **Funded by [optional]:** Self-funded (independent project) |
| - **Shared by [optional]:** BKlein Digital Labs |
| - **Model type:** Text classification (sequence classification) |
| - **Language(s) (NLP):** English |
| - **License:** MIT |
| - **Finetuned from model [optional]:** roberta-base |
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| ### Model Sources [optional] |
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| - Base model: roberta-base |
| - Task: text classification |
| - Framework: Hugging Face Transformers |
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| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
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| ## Intended Use |
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| This model is intended for: |
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| - exploring AI governance concepts |
| - educational purposes |
| - early-stage risk assessment of AI use cases |
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| Example input: |
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| "A system ranks insurance claims for staff review." |
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| Example output: |
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| Possible High Risk |
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| ### Direct Use |
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| [More Information Needed] |
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| ### Downstream Use [optional] |
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| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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| [More Information Needed] |
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| ### Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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| [More Information Needed] |
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| ## Bias and Risks |
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| ## Limitations |
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| - The dataset is relatively small and curated manually |
| - The model may not generalize to all real-world scenarios |
| - It does not capture full legal or regulatory complexity |
| - Predictions should not be used for compliance decisions |
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| ### Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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| ## How to Get Started with the Model |
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| Use the code below to get started with the model. |
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| [More Information Needed] |
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| ## Training Details |
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| ### Training Data |
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| The model was trained on a manually designed dataset (~90 use cases) covering domains such as: |
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| - finance |
| - healthcare |
| - employment |
| - public sector |
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| Special focus was placed on defining clear boundaries between: |
| - informational use |
| - decision influence |
| - automated decision-making |
| - harmful or unfair practices |
| [More Information Needed] |
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| ### Training Procedure |
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|
| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| #### Preprocessing [optional] |
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| [More Information Needed] |
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| #### Training Hyperparameters |
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| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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| #### Speeds, Sizes, Times [optional] |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| [More Information Needed] |
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| ## Evaluation |
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| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ### Testing Data, Factors & Metrics |
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| #### Testing Data |
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| <!-- This should link to a Dataset Card if possible. --> |
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| [More Information Needed] |
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| #### Factors |
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| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| [More Information Needed] |
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| #### Metrics |
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| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| [More Information Needed] |
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| ### Results |
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| [More Information Needed] |
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| #### Summary |
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| ## Model Examination [optional] |
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| <!-- Relevant interpretability work for the model goes here --> |
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| [More Information Needed] |
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| ## Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| - **Hardware Type:** [More Information Needed] |
| - **Hours used:** [More Information Needed] |
| - **Cloud Provider:** [More Information Needed] |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
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| ## Technical Specifications [optional] |
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| ### Model Architecture and Objective |
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| [More Information Needed] |
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| ### Compute Infrastructure |
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| [More Information Needed] |
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| #### Hardware |
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| [More Information Needed] |
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| #### Software |
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| [More Information Needed] |
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| ## Citation [optional] |
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| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| [More Information Needed] |
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| **APA:** |
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| [More Information Needed] |
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| ## Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| [More Information Needed] |
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| ## More Information [optional] |
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| [More Information Needed] |
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| ## Model Card Authors [optional] |
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| [More Information Needed] |
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| ## Model Card Contact |
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| [More Information Needed] |
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| ## Disclaimer |
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| This model provides indicative classification for educational purposes only. |
| It does not replace legal advice or formal regulatory assessment. |
