### 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)

"""Test that when the length of mapped literal increases, additional ti is added"""
    with dag_maker(session=session) as dag:
        @task
        def task_2(arg2):
            ...
        task_2.expand(arg2=[1, 2, 3, 4])
    dr = dag_maker.create_dagrun()
    tis = dr.get_task_instances()
    indices = [(ti.map_index, ti.state) for ti in tis]
    assert sorted(indices) == [
        (0, State.NONE),
        (1, State.NONE),
        (2, State.NONE),
        (3, State.NONE),
    ]
    
    dag._remove_task("task_2")
    with dag:
        task_2.expand(arg2=[1, 2, 3, 4, 5]).operator
    
    
    serialized_dag = SerializedDAG.from_dict(SerializedDAG.to_dict(dag))
    dr.dag = serialized_dag
    
    dr.task_instance_scheduling_decisions()
    tis = dr.get_task_instances()
    indices = [(ti.map_index, ti.state) for ti in tis]