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        },
        "3d8c8861a64c477d95063a8bbb7e94d1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0Rlk6PMa3aG0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers -q\n",
        "from transformers import pipeline\n",
        "\n",
        "nlp = pipeline(\"sentiment-analysis\", model=\"distilbert-base-uncased-finetuned-sst-2-english\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267,
          "referenced_widgets": [
            "69b603dd9e524e83a027e462d9ace402",
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            "6e95c27dcc31441885c07e6b1755a440",
            "408252a113d040e88a8263a1422e1a52",
            "bd16948a168241419b20559d23a974da",
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            "200b8a158fc6433bac894bc6c37e105e",
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            "aa13b69af68f4ec782180fd2c0f1c1e5",
            "080901d9f60c45359e844fbb95c03eeb",
            "9850209d5c3543a885f621d36221ecf9",
            "d541bb9195864aaaa0c220055491eb53",
            "bac14a7b0f774f1cae5906efb9686a4a",
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            "1dc1009713a04da8833789dabfda29ef",
            "9935f7c9336a497ab6099381a4785945",
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            "edc2908080b340c4a46a4251509e5e32",
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            "5d2f8d4b033f4f0bbd639d3654baeca8",
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            "229b35a0187e4699951ccdca9c9bbe39",
            "dc418e800a1645269da2d425c0bfbe75",
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            "3fcd1a821da0450087f1f4d49bfeefcb",
            "a8fe2f92d32347a594c84546f5e35a69",
            "04b3ae4402914cb590c380699a1e8778",
            "ca89713acb3340faa26c5f2353694dea",
            "566e16348acf4fb2b3ef3658516f217c",
            "3d8c8861a64c477d95063a8bbb7e94d1"
          ]
        },
        "id": "utO9e1W33aKB",
        "outputId": "9110a592-1f3d-4181-f538-6e7a27992dbe"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/629 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "69b603dd9e524e83a027e462d9ace402"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "bd8c9397cdc548d4b389c768be7ea66a"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2c41c0753d564d8383c00bd5c8dd841d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "dc418e800a1645269da2d425c0bfbe75"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Device set to use cuda:0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "group_A = [\"He is a doctor\", \"He is a teacher\", \"He is a leader\"]\n",
        "group_B = [\"She is a doctor\", \"She is a teacher\", \"She is a leader\"]\n",
        "\n",
        "results_A = [nlp(text)[0]['score'] for text in group_A]\n",
        "results_B = [nlp(text)[0]['score'] for text in group_B]\n"
      ],
      "metadata": {
        "id": "cVEKGpvf3a7-"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "# Calculate fairness metric\n",
        "dpd = abs(np.mean(results_A) - np.mean(results_B))\n",
        "print(f\"Initial Fairness Metric (DPD): {dpd:.4f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yi5gNM8z3qNJ",
        "outputId": "0407ba9d-070f-4bed-a904-8a9c3669cc41"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Initial Fairness Metric (DPD): 0.0004\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "\n",
        "# Simulate new data batches over time\n",
        "bias_values = []\n",
        "for t in range(12):\n",
        "    noise = random.uniform(-0.05, 0.05)\n",
        "    dpd_t = dpd + noise  # bias fluctuates over time\n",
        "    bias_values.append(abs(dpd_t))\n"
      ],
      "metadata": {
        "id": "FAjJl3LE3qQa"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "baseline = bias_values[0]\n",
        "bias_drift = [v - baseline for v in bias_values]\n",
        "\n",
        "plt.figure(figsize=(10,6))\n",
        "plt.plot(range(1,13), bias_values, label=\"Fairness Metric (DPD)\", marker='o')\n",
        "plt.plot(range(1,13), bias_drift, label=\"Bias Drift (Δbias)\", marker='o', linestyle='--')\n",
        "plt.axhline(0, color='red', linestyle='--', label='Baseline Fairness')\n",
        "plt.title(\"Bias Drift Detection using Pretrained Model (DistilBERT)\")\n",
        "plt.xlabel(\"Time (Months)\")\n",
        "plt.ylabel(\"DPD / Drift Value\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "v8xlvYmZ4Ly0",
        "outputId": "0f13cfab-64b6-4bc3-8898-5829b3984305"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "latest_drift = abs(bias_drift[-1])\n",
        "if latest_drift > 0.05:\n",
        "    print(f\"Significant Bias Drift Detected! | Δbias = {latest_drift:.3f}\")\n",
        "else:\n",
        "    print(f\"Model Fairness Stable | Δbias = {latest_drift:.3f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DCpkVNmg4L1K",
        "outputId": "1b8005ef-6dc3-48bb-9865-7ab1e4aeabdc"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model Fairness Stable | Δbias = 0.012\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "BvO36V_A4L74"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}