diff --git a/notebooks/individual-dashboards/erroranalysis-dashboard/erroranalysis-dashboard-regression-superconductor.ipynb b/notebooks/individual-dashboards/erroranalysis-dashboard/erroranalysis-dashboard-regression-superconductor.ipynb
index cfed83d1b6..d7dea4013d 100644
--- a/notebooks/individual-dashboards/erroranalysis-dashboard/erroranalysis-dashboard-regression-superconductor.ipynb
+++ b/notebooks/individual-dashboards/erroranalysis-dashboard/erroranalysis-dashboard-regression-superconductor.ipynb
@@ -61,6 +61,7 @@
     "import pandas as pd\n",
     "\n",
     "from urllib.request import urlretrieve\n",
+    "import requests\n",
     "import zipfile\n",
     "\n",
     "# Imports for SHAP MimicExplainer with LightGBM surrogate model\n",
@@ -86,7 +87,13 @@
    "source": [
     "outdirname = 'superconduct'\n",
     "zipfilename = outdirname + '.zip'\n",
-    "urlretrieve('https://archive.ics.uci.edu/static/public/464/superconductivty+data.zip', zipfilename)\n",
+    "url = 'https://archive.ics.uci.edu/static/public/464/superconductivty+data.zip'\n",
+    "# temporary workaround for UCI repository until website SSL certificate\n",
+    "# is renewed with requests instead of urlretrieve\n",
+    "# urlretrieve(url, zipfilename)\n",
+    "content = requests.get(url, verify=False).content\n",
+    "with open(zipfilename, mode='wb') as localfile:\n",
+    "    localfile.write(content)\n",
     "with zipfile.ZipFile(zipfilename, 'r') as unzip:\n",
     "    unzip.extractall('.')\n",
     "df = pd.read_csv(r'./train.csv')\n",
@@ -167,9 +174,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "predictions = model.predict(X_test)\n",
@@ -244,9 +249,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "ErrorAnalysisDashboard(global_explanation, model, dataset=X_test,\n",
@@ -262,7 +265,7 @@
    }
   ],
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -276,9 +279,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.10.11"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/responsibleai/tests/common_utils.py b/responsibleai/tests/common_utils.py
index 3c131a53d0..d0441f5583 100644
--- a/responsibleai/tests/common_utils.py
+++ b/responsibleai/tests/common_utils.py
@@ -3,6 +3,7 @@
 
 import json
 import random
+import ssl
 
 import numpy as np
 import pandas as pd
@@ -87,6 +88,9 @@ def fetch(self):
 
 
 def create_adult_income_dataset(create_small_dataset=True):
+    # workaround for SSL expiration error from UCI website
+    default_http_context = ssl._create_default_https_context
+    ssl._create_default_https_context = ssl._create_unverified_context
     fetcher = FetchDiceAdultCensusIncomeDataset()
     action_name = "Adult dataset download"
     err_msg = "Failed to download adult dataset"
@@ -122,6 +126,7 @@ def create_adult_income_dataset(create_small_dataset=True):
         data_train, data_test, y_train, y_test = train_test_split(
             dataset, target, test_size=5000, random_state=7, stratify=target
         )
+    ssl._create_default_https_context = default_http_context
     return (
         data_train,
         data_test,
diff --git a/responsibleai_text/tests/test_rai_text_insights_save_and_load_scenarios.py b/responsibleai_text/tests/test_rai_text_insights_save_and_load_scenarios.py
index 1bdf127b0b..b0ddf6f4c5 100644
--- a/responsibleai_text/tests/test_rai_text_insights_save_and_load_scenarios.py
+++ b/responsibleai_text/tests/test_rai_text_insights_save_and_load_scenarios.py
@@ -3,6 +3,7 @@
 
 import os
 import shutil
+import sys
 from pathlib import Path
 from tempfile import TemporaryDirectory
 
@@ -14,6 +15,7 @@
                                create_text_classification_pipeline,
                                load_covid19_emergency_event_dataset,
                                load_emotion_dataset)
+from huggingface_hub.utils._validators import HFValidationError
 from rai_text_insights_validator import validate_rai_text_insights
 
 from responsibleai._internal.constants import ManagerNames
@@ -128,8 +130,13 @@ def test_loading_rai_insights_without_model_file(self):
             model_name = 'text-classification-model'
             model_pkl_path = Path(tmpdir) / "rai_insights" / model_name
             shutil.rmtree(model_pkl_path)
-            match_msg = 'Can\'t load the configuration'
-            with pytest.raises(OSError, match=match_msg):
+            if sys.version_info[:2] == (3, 7):
+                match_msg = 'Can\'t load the configuration'
+                expected_error = OSError
+            else:
+                match_msg = 'Repo id must be in the form'
+                expected_error = HFValidationError
+            with pytest.raises(expected_error, match=match_msg):
                 without_model_rai_insights = RAITextInsights.load(save_path)
                 assert without_model_rai_insights.model is None