diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index 7da6d43c732a9..f76e0d1458731 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -378,6 +378,15 @@ Performance improvements
 
 Bug fixes
 ~~~~~~~~~
+- Fixed bug in :class:`Index` Index constructor was not converting FLS to object. (:issue:`57645`)
+- Fixed bug in :class:`SparseDtype` for equal comparison with na fill value. (:issue:`54770`)
+- Fixed bug in :meth:`DataFrame.join` inconsistently setting result index name (:issue:`55815`)
+- Fixed bug in :meth:`DataFrame.to_string` that raised ``StopIteration`` with nested DataFrames. (:issue:`16098`)
+- Fixed bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`)
+- Fixed bug in :meth:`DataFrameGroupBy.apply` that was returning a completely empty DataFrame when all return values of ``func`` were ``None`` instead of returning an empty DataFrame with the original columns and dtypes. (:issue:`57775`)
+- Fixed bug in :meth:`Series.diff` allowing non-integer values for the ``periods`` argument. (:issue:`56607`)
+- Fixed bug in :meth:`Series.rank` that doesn't preserve missing values for nullable integers when ``na_option='keep'``. (:issue:`56976`)
+- Fixed bug in :meth:`Series.replace` and :meth:`DataFrame.replace` inconsistently replacing matching instances when ``regex=True`` and missing values are present. (:issue:`56599`)
 
 Categorical
 ^^^^^^^^^^^
diff --git a/pandas/core/common.py b/pandas/core/common.py
index 77e986a26fbe9..bf270efab8c5b 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -236,7 +236,7 @@ def asarray_tuplesafe(values: Iterable, dtype: NpDtype | None = None) -> ArrayLi
         values = list(values)
     elif isinstance(values, ABCIndex):
         return values._values
-    elif isinstance(values, ABCSeries):
+    elif isinstance(values, ABCSeries) and values.dtype.kind != "S":
         return values._values
 
     if isinstance(values, list) and dtype in [np.object_, object]:
diff --git a/pandas/tests/frame/methods/test_set_index.py b/pandas/tests/frame/methods/test_set_index.py
index 198cab0e91eab..5dca06afe72d6 100644
--- a/pandas/tests/frame/methods/test_set_index.py
+++ b/pandas/tests/frame/methods/test_set_index.py
@@ -617,6 +617,17 @@ def test_set_index_raise_on_len(
         with pytest.raises(ValueError, match=msg):
             df.set_index(["A", df.A, box(values)], drop=drop, append=append)
 
+    def test_set_index_with_FLS_Dtype(self):
+        arr = np.array(["apple", "banana", "orange", "grape"], dtype="S6")
+
+        # Attempt to create a DataFrame with an array with FLS Dtype
+        df = DataFrame(Series(arr), columns=["fruits"])
+
+        # Create Index that converts FLS Dtype to object
+        expected = Index(data=Series(arr), name="fruits")
+        df.set_index("fruits", inplace=True)
+        tm.assert_index_equal(df.index, expected)
+
 
 class TestSetIndexCustomLabelType:
     def test_set_index_custom_label_type(self):
diff --git a/pandas/tests/indexes/test_index_new.py b/pandas/tests/indexes/test_index_new.py
index b544ebac43ece..073f99d938bcd 100644
--- a/pandas/tests/indexes/test_index_new.py
+++ b/pandas/tests/indexes/test_index_new.py
@@ -185,6 +185,18 @@ def test_constructor_datetimes_mixed_tzs(self):
         expected = Index([dt1, dt2], dtype=object)
         tm.assert_index_equal(result, expected)
 
+    def test_FLS_to_object_conversion(self):
+        # Create NumPy array of fixed-length strings
+        arr = np.array(["apple", "banana", "orange", "grape"], dtype="S6")
+        # Create expected array for index
+        expected_arr = np.array(
+            [b"apple", b"banana", b"orange", b"grape"], dtype=object
+        )
+        # Create Index that converts FLS Dtype to object
+        index = Index(data=Series(arr), name="fruits")
+        expected = Index(data=Series(expected_arr), name="fruits")
+        tm.assert_index_equal(index, expected)
+
 
 class TestDtypeEnforced:
     # check we don't silently ignore the dtype keyword