CI: Numpy changed dtype inference
Numpy changed the dtype inference (https://github.com/numpy/numpy/pull/17863), which causes tests to fail. Problem description as follows:

```
other = [pd.Interval(0, 1, closed="right"), 0, "foo"]
arr = np.asarray(other)
result = pd.array(arr)
```

On a regular Numpy version the numpy array has dtype object and this returns
```
<PandasArray>
[Interval(0, 1, closed='right'), 0, 'foo']
Length: 3, dtype: object
```

while on numpy dev the numpy array has dtype ``<U64`` and this returns 
```
<StringArray>
['(0, 1]', '0', 'foo']
Length: 3, dtype: string
```
This leads to a different evaluation of ``is_object_dtype(other_dtype)``