### 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)

with dag_maker(session=session, dag_id="test"):
        task = BaseOperator(task_id="task_1")
    dr = DagRun(dag_id="test", run_id="test", run_type=DagRunType.MANUAL)
    ti0 = TI(task=task, run_id=dr.run_id, map_index=0, state=TaskInstanceState.SUCCESS)
    ti1 = TI(task=task, run_id=dr.run_id, map_index=1, state=None)
    ti2 = TI(task=task, run_id=dr.run_id, map_index=2, state=TaskInstanceState.SUCCESS)
    session.add_all((dr, ti0, ti1, ti2))
    session.flush()
    assert dr.schedule_tis((ti1,), session=session) == 1
    session.refresh(ti0)
    session.refresh(ti1)
    session.refresh(ti2)
    assert ti0.state == TaskInstanceState.SUCCESS
    assert ti1.state == TaskInstanceState.SCHEDULED
    assert ti2.state == TaskInstanceState.SUCCESS
def test_mapped_expand_kwargs(dag_maker):
    with dag_maker():
        @task
        def task_0():
            return {"arg1": "a", "arg2": "b"}
        @task
        def task_1(args_0):
            return [args_0, {"arg1": "y"}, {"arg2": "z"}]
        args_0 = task_0()
        args_list = task_1(args_0=args_0)
        MockOperator.partial(task_id="task_2").expand_kwargs(args_list)
        MockOperator.partial(task_id="task_3").expand_kwargs(
            [{"arg1": "a", "arg2": "b"}, {"arg1": "y"}, {"arg2": "z"}],
        )
        MockOperator.partial(task_id="task_4").expand_kwargs([args_0, {"arg1": "y"}, {"arg2": "z"}])