Day 4: Detecting Contradictions Using GPT #gptlogic #semanticai

SEO Title: Day 4: Detecting Contradictions Using GPT #gptlogic #semanticai
Focus Keyphrase: AI lie detector
Meta Description: Learn how to detect contradictions using GPT in your AI lie detector app. Analyze transcribed speech for logical inconsistencies with natural language AI.

Table of Contents

Is the Statement Truthful? Let GPT Help Decide

Now that your AI lie detector transcribes speech into text, the next step is to check that content for contradictions, vague language, or red flags. We’ll use OpenAI GPT to evaluate if a statement is consistent, confident, or suspicious based on semantics.

Step 1: Add GPT Evaluation Logic

In app.py, after transcribing the voice input, add GPT-based contradiction checking:


def analyze_with_gpt(statement):
    prompt = f"""
You are a semantic contradiction detector.
Analyze the following statement for internal inconsistency, hesitation, or emotional mismatch.

Statement: "{statement}"

Return one line: 'Likely Truthful', 'Possibly Uncertain', or 'Suspicious/Inconsistent'. Briefly explain.
"""
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": prompt}],
        max_tokens=100,
        temperature=0.4,
    )
    return response.choices[0].message.content.strip()

Step 2: Use It in the Endpoint


@app.route('/api/voice', methods=['POST'])
def receive_audio():
    ...
    transcript = openai.Audio.transcribe("whisper-1", audio)
    result = analyze_with_gpt(transcript["text"])

    return {
        "transcript": transcript["text"],
        "analysis": result
    }

Step 3: Try Saying These Statements

Say things like:

“I’m super happy with my job. It’s terrible, but I smile every day.”
“No, I definitely didn’t go to that party. I mean… I did, but only briefly.”

The GPT model will flag mixed signals or contradictions.

Why This Matters in Lie Detection

This gives your AI lie detector app real cognitive power — it can evaluate statements like a logic-aware listener. While it’s not a polygraph, it’s a helpful layer to detect uncertainty, deflection, or evasion.

Coming Tomorrow

In Day 5: Analyzing Voice Emotion with VAD + HEAR #emotionai #aivoice, we’ll combine this logic layer with emotion analysis — so you can spot when the voice sounds stressed but the words are calm.

Tags: #AIUX #LieDetection #GPTAnalysis #ContentContradiction

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