### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

Greetings!
Recently I’ve faced a problem. It seems that assigning object, which can’t be serialized to JSON, to the dag_run.conf dict cause critical errors with UI.
After executing code example in "How to reproduce": 
Grid representation of the DAG breaks with following result:
<img width="800" alt="Pasted Graphic" src="https://github.com/apache/airflow/assets/79107237/872ccde5-500f-4484-a36c-dce6b7112286">
Browse -> DAG Runs also becomes unavailable.
<img width="800" alt="Pasted Graphic 1" src="https://github.com/apache/airflow/assets/79107237/b4e3df0c-5324-41dd-96f3-032e706ab7a9">
Dag itself continues to work correctly, this affects only UI graph and dagrun/list/
I suggest to use custom dictionary with restriction on setting non json values.

### What you think should happen instead

Raise an error

### How to reproduce

Execute following task. 
Composer 2 version 2.4.2
Airflow version 2.5.3
```
@task 
def test_task(**context):
    context['dag_run'].conf["test"] = np.int64(1234)
```

### Operating System

Ubuntu 20.04.6 LTS

### Versions of Apache Airflow Providers

_No response_

### Deployment

Google Cloud Composer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""Try to expand the ti, if needed.
            If the ti needs expansion, newly created task instances are
            returned as well as the original ti.
            The original ti is also modified in-place and assigned the
            ``map_index`` of 0.
            If the ti does not need expansion, either because the task is not
            mapped, or has already been expanded, *None* is returned.
            """
            if ti.map_index >= 0:  
                return None
            from airflow.models.mappedoperator import MappedOperator
            if isinstance(ti.task, MappedOperator):
                
                
                
                ti.clear_db_references(session=session)
            try:
                expanded_tis, _ = ti.task.expand_mapped_task(self.run_id, session=session)
            except NotMapped:  
                return None
            if expanded_tis:
                return expanded_tis
            return ()
        
        expansion_happened = False
        
        revised_map_index_task_ids = set()
        for schedulable in itertools.chain(schedulable_tis, additional_tis):