diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 544a48a96b955..bed8dcd22a2d4 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -645,6 +645,7 @@ def copy(self, *, deep: bool) -> Self:
             values = values.copy()
             refs = None
         else:
+            values = values.view()
             refs = self.refs
         return type(self)(values, placement=self._mgr_locs, ndim=self.ndim, refs=refs)
 
@@ -652,9 +653,9 @@ def copy(self, *, deep: bool) -> Self:
     # Copy-on-Write Helpers
 
     def _maybe_copy(self, inplace: bool) -> Self:
-        if inplace:
-            deep = self.refs.has_reference()
-            return self.copy(deep=deep)
+        if inplace and not self.refs.has_reference():
+            # TODO(CoW) should we avoid the view taken in a shallow copy?
+            return self.copy(deep=False)
         return self.copy(deep=True)
 
     @final
diff --git a/pandas/tests/copy_view/test_replace.py b/pandas/tests/copy_view/test_replace.py
index d4838a5e68ab8..3313eecc32987 100644
--- a/pandas/tests/copy_view/test_replace.py
+++ b/pandas/tests/copy_view/test_replace.py
@@ -61,7 +61,9 @@ def test_replace_regex_inplace():
     arr = get_array(df, "a")
     df.replace(to_replace=r"^a.*$", value="new", inplace=True, regex=True)
     assert df._mgr._has_no_reference(0)
-    assert tm.shares_memory(arr, get_array(df, "a"))
+    # ArrowExtensionArray __setitem__ swaps in a new array, so changes are not
+    # preserved across views -> original array not updated
+    assert not tm.shares_memory(arr, get_array(df, "a"))
 
     df_orig = df.copy()
     df2 = df.replace(to_replace=r"^b.*$", value="new", regex=True)
diff --git a/pandas/tests/extension/date/array.py b/pandas/tests/extension/date/array.py
index b97c20ad24f32..f0c0140f8ebff 100644
--- a/pandas/tests/extension/date/array.py
+++ b/pandas/tests/extension/date/array.py
@@ -167,6 +167,9 @@ def __repr__(self) -> str:
     def copy(self) -> DateArray:
         return DateArray((self._year.copy(), self._month.copy(), self._day.copy()))
 
+    def view(self) -> DateArray:
+        return DateArray((self._year.view(), self._month.view(), self._day.view()))
+
     def isna(self) -> np.ndarray:
         return np.logical_and(
             np.logical_and(
diff --git a/pandas/tests/extension/decimal/array.py b/pandas/tests/extension/decimal/array.py
index 7d055e2143112..7223a1196013a 100644
--- a/pandas/tests/extension/decimal/array.py
+++ b/pandas/tests/extension/decimal/array.py
@@ -180,7 +180,7 @@ def __getitem__(self, item):
         else:
             # array, slice.
             item = pd.api.indexers.check_array_indexer(self, item)
-            result = type(self)(self._data[item])
+            result = type(self)(self._data[item], context=self.dtype.context)
             if getitem_returns_view(self, item):
                 result._readonly = self._readonly
             return result
diff --git a/pandas/tests/frame/methods/test_select_dtypes.py b/pandas/tests/frame/methods/test_select_dtypes.py
index c6aff45582dd7..7c2065f67236d 100644
--- a/pandas/tests/frame/methods/test_select_dtypes.py
+++ b/pandas/tests/frame/methods/test_select_dtypes.py
@@ -35,7 +35,7 @@ def __init__(self, data, dtype) -> None:
         self._dtype = dtype
 
     def __array__(self, dtype=None, copy=None):
-        return self.data
+        return np.asarray(self.data, dtype=dtype)
 
     @property
     def dtype(self):
@@ -50,6 +50,9 @@ def __getitem__(self, item):
     def copy(self):
         return self
 
+    def view(self):
+        return self
+
 
 class TestSelectDtypes:
     def test_select_dtypes_include_using_list_like(self, using_infer_string):
diff --git a/pandas/tests/internals/test_internals.py b/pandas/tests/internals/test_internals.py
index 7203082c077b9..db778b39369fa 100644
--- a/pandas/tests/internals/test_internals.py
+++ b/pandas/tests/internals/test_internals.py
@@ -489,7 +489,7 @@ def test_copy(self, mgr):
             # view assertion
             tm.assert_equal(cp_blk.values, blk.values)
             if isinstance(blk.values, np.ndarray):
-                assert cp_blk.values.base is blk.values.base
+                assert cp_blk.values.base.base is blk.values.base
             else:
                 # DatetimeTZBlock has DatetimeIndex values
                 assert cp_blk.values._ndarray.base is blk.values._ndarray.base