diff --git a/python/cudf/cudf/core/column/column.py b/python/cudf/cudf/core/column/column.py
index 5f9104263b1..6f2f01c746d 100644
--- a/python/cudf/cudf/core/column/column.py
+++ b/python/cudf/cudf/core/column/column.py
@@ -2060,6 +2060,11 @@ def as_column(
                         return cudf.core.column.Decimal32Column.from_arrow(
                             data
                         )
+                    if is_bool_dtype(dtype):
+                        # Need this special case handling for bool dtypes,
+                        # since 'boolean' & 'pd.BooleanDtype' are not
+                        # understood by np.dtype below.
+                        dtype = "bool"
                     np_type = np.dtype(dtype).type
                     pa_type = np_to_pa_dtype(np.dtype(dtype))
                 data = as_column(
diff --git a/python/cudf/cudf/tests/test_series.py b/python/cudf/cudf/tests/test_series.py
index 09f0417b7ac..73fe46746ce 100644
--- a/python/cudf/cudf/tests/test_series.py
+++ b/python/cudf/cudf/tests/test_series.py
@@ -1335,3 +1335,14 @@ def test_equals_names(lhs, rhs):
     expect = lhs.to_pandas().equals(rhs.to_pandas())
 
     assert_eq(expect, got)
+
+
+@pytest.mark.parametrize(
+    "data", [[True, False, None, True, False], [None, None], []]
+)
+@pytest.mark.parametrize("bool_dtype", ["bool", "boolean", pd.BooleanDtype()])
+def test_nullable_bool_dtype_series(data, bool_dtype):
+    psr = pd.Series(data, dtype=pd.BooleanDtype())
+    gsr = cudf.Series(data, dtype=bool_dtype)
+
+    assert_eq(psr, gsr.to_pandas(nullable=True))