diff --git a/torchvision/prototype/transforms/functional/_geometry.py b/torchvision/prototype/transforms/functional/_geometry.py
index c7e80cb417f..6fcd87ac91c 100644
--- a/torchvision/prototype/transforms/functional/_geometry.py
+++ b/torchvision/prototype/transforms/functional/_geometry.py
@@ -249,7 +249,7 @@ def resize(
     elif isinstance(inpt, datapoints._datapoint.Datapoint):
         return inpt.resize(size, interpolation=interpolation, max_size=max_size, antialias=antialias)
     elif isinstance(inpt, PIL.Image.Image):
-        if antialias is not None and not antialias:
+        if antialias is False:
             warnings.warn("Anti-alias option is always applied for PIL Image input. Argument antialias is ignored.")
         return resize_image_pil(inpt, size, interpolation=interpolation, max_size=max_size)
     else:
diff --git a/torchvision/transforms/functional.py b/torchvision/transforms/functional.py
index 29940837a41..beeb02cd915 100644
--- a/torchvision/transforms/functional.py
+++ b/torchvision/transforms/functional.py
@@ -484,7 +484,7 @@ def resize(
     antialias = _check_antialias(img, antialias, interpolation)
 
     if not isinstance(img, torch.Tensor):
-        if antialias is not None and not antialias:
+        if antialias is False:
             warnings.warn("Anti-alias option is always applied for PIL Image input. Argument antialias is ignored.")
         pil_interpolation = pil_modes_mapping[interpolation]
         return F_pil.resize(img, size=output_size, interpolation=pil_interpolation)