### Apache Airflow version

2.3.3 (latest released)

### What happened

I change my DAG from 
```python
with DAG(
   'test',
    access_control={'team':{'can_edit','can_read'}},
) as dag:
   ...
```

to

```python
with DAG(
   'test',
) as dag:
   ...
```

Remove `access_control` arguments, Scheduler can't sync permissions to db.

If we write code like this,

```python
with DAG(
   'test',
   access_control = {'team': {}}
) as dag:
   ...
```

It works.

### What you think should happen instead

It should clear permissions to `test` DAG on Role `team`.

I think we should give a consistent behaviour of permissions sync. If we give `access_control` argument, permissions assigned in Web will clear when we update DAG file.

### How to reproduce

_No response_

### Operating System

CentOS Linux release 7.9.2009 (Core)

### Versions of Apache Airflow Providers

```
airflow-code-editor==5.2.2
apache-airflow==2.3.3
apache-airflow-providers-celery==3.0.0
apache-airflow-providers-ftp==3.0.0
apache-airflow-providers-http==3.0.0
apache-airflow-providers-imap==3.0.0
apache-airflow-providers-microsoft-psrp==2.0.0
apache-airflow-providers-microsoft-winrm==3.0.0
apache-airflow-providers-mysql==3.0.0
apache-airflow-providers-redis==3.0.0
apache-airflow-providers-samba==4.0.0
apache-airflow-providers-sftp==3.0.0
apache-airflow-providers-sqlite==3.0.0
apache-airflow-providers-ssh==3.0.0
```

### Deployment

Virtualenv installation

### 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)

"""Loading a DAG with ID that already existed in a DAG bag should result in an import error."""
        dagbag = models.DagBag(dag_folder=self.empty_dir, include_examples=False)
        def create_dag():
            from airflow.decorators import dag
            @dag(default_args={"owner": "owner1"})
            def my_flow():
                pass
            my_dag = my_flow()  
        source_lines = [line[12:] for line in inspect.getsource(create_dag).splitlines(keepends=True)[1:]]
        with NamedTemporaryFile("w+", encoding="utf8") as tf_1, NamedTemporaryFile(
            "w+", encoding="utf8"
        ) as tf_2:
            tf_1.writelines(source_lines)
            tf_2.writelines(source_lines)
            tf_1.flush()
            tf_2.flush()
            found_1 = dagbag.process_file(tf_1.name)
            assert len(found_1) == 1 and found_1[0].dag_id == "my_flow"
            assert dagbag.import_errors == {}
            dags_in_bag = dagbag.dags
            found_2 = dagbag.process_file(tf_2.name)
            assert len(found_2) == 0
            assert dagbag.import_errors[tf_2.name].startswith("AirflowDagDuplicatedIdException: Ignoring DAG")
            assert dagbag.dags == dags_in_bag  
    def test_zip_skip_log(self, caplog):