China PIPL Art. 24 (automated decision-making)

Example (FastAPI feed service), before:

@app.get('/feed')
def feed(user=Depends(current_user)):
    return get_recommendations(user_id=user.id, k=50)

After:

@app.get('/feed')
def feed(user=Depends(current_user)):
    if not prefs.get(user.id, 'personalization_enabled', default=True):
        return non_personalized_feed(k=50)       # latest/popular, no user features
    return get_recommendations(user_id=user.id, k=50, exclude_tags=tags.deleted(user.id))

@app.delete('/me/tags/{tag_id}')
def delete_tag(tag_id: str, user=Depends(current_user)):
    tags.delete(user.id, tag_id)
    feed_cache.invalidate(user.id)

Example (Python + OpenAI SDK), before:

verdict = client.chat.completions.create(model=MODEL, messages=msgs).choices[0].message.content
if verdict.strip() == 'deny':
    deny(applicant)
    send_decision_email(applicant, 'Your application was not approved.')

After:

out = client.chat.completions.create(model=MODEL, messages=msgs,
                                     response_format={'type': 'json_object'})
result = json.loads(out.choices[0].message.content)
if result['decision'] == 'deny':
    if requires_human_review('credit'):                 # a person decides
        review_queue.enqueue(applicant.id, proposal=result)
    else:                                               # solely automated, recorded basis
        deny(applicant, basis=DECISION_BASIS['credit'], reasons=result['reasons'])
        send_decision_email(applicant, render('adm_denial.txt', notice=ADM_NOTICE,
            reasons=result['reasons'], contest_url=f'{BASE}/decisions/{applicant.id}/contest'))