diff --git a/CHANGELOG.md b/CHANGELOG.md
index c78dfe605f90..5d77b3bdb538 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,7 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Fixed
 
 
-## [0.18.0] - 05/DD/2025
+## [0.18.0] - 06/DD/2025
 
 This release achieves 100% compliance with Python Array API specification (revision [2024.12](https://data-apis.org/array-api/2024.12/)).
 The release provides enhanced compatibility with NumPy 2.2.5. Window and mathematical routines are complemented by a set of new functions.
@@ -61,6 +61,7 @@ Moreover, it adds support to build `dpnp` from the source for AMD GPUs.
 * Added handling of empty string passed to a test env variable defining data type scope as a `False` value [#2415](https://github.com/IntelPython/dpnp/pull/2415)
 * Resolved build issues on non-Intel targets in `dpnp.i0` and `dpnp.kaiser` [#2439](https://github.com/IntelPython/dpnp/pull/2439)
 * Ensure consistency in the `dpnp.linalg.LinAlgError` exception raised on singular input matrices for both non-batched and batched cases in `dpnp.linalg.inv` [#2458] (https://github.com/IntelPython/dpnp/pull/2458)
+* Updated test f/w to correct a check of array interface while converting to `numpy.ndarray` for comparison [#2467] (https://github.com/IntelPython/dpnp/pull/2467)
 
 
 ## [0.17.0] - 02/26/2025
diff --git a/dpnp/dpnp_utils/dpnp_algo_utils.pyx b/dpnp/dpnp_utils/dpnp_algo_utils.pyx
index cc8acf068443..732b792af125 100644
--- a/dpnp/dpnp_utils/dpnp_algo_utils.pyx
+++ b/dpnp/dpnp_utils/dpnp_algo_utils.pyx
@@ -76,9 +76,9 @@ cdef ERROR_PREFIX = "DPNP error:"
 
 
 def convert_item(item):
-    if getattr(item, "__sycl_usm_array_interface__", False):
+    if hasattr(item, "__sycl_usm_array_interface__"):
         item_converted = dpnp.asnumpy(item)
-    elif getattr(item, "__array_interface__", False):  # detect if it is a container (TODO any better way?)
+    elif hasattr(item, "__array_interface__"):  # detect if it is a container (TODO any better way?)
         mod_name = getattr(item, "__module__", 'none')
         if (mod_name != 'numpy'):
             item_converted = dpnp.asnumpy(item)