AI or Human? Detection Strategies for Business Leaders

The Challenge of AI Content

AI tools can create marketing copy, social media posts, reports, legal documents, images, videos, and more in minutes. While this is a super powerful, it raises concerns about content authenticity and misinformation. This has led to the rise of AI detection tools and strategies to help businesses discern real from AI-generated content.

AI content generation isn't limited to text. It spans across multiple media types, each presenting unique challenges.

Detecting AI-Generated Text

The education sector is a good example to observe how the use of AI is trending. According to a recent article by EdWeek.org, 1 in 3 College Applicants Used AI for Essay Help. I suspect this is the tip of the iceberg.

So how to tell if content was written by ChatGPT, Claude, Gemini, Perplexity or other AI Assistants?

Here are some signs of AI-generated text:

• Flawless grammar and structure
• Lack of originality or depth
• Inaccurate or outdated information (hallucinations by LLMs)
• Unusual consistency in tone and style
• Overuse of certain words and phrases. I keep track of verbs, adjacent words and phrases that are giveaway signs content was written by AI and I explicitly instruct my AIs in my prompts to avoid using these. Access my FREE Cheat Sheet of AI Overused Words to Avoid and Humanize Your AI Content.

As the need for artificial intelligence detectors and artificial intelligence checkers grows, several tools have emerged to help identify AI-generated content. Here are some of the most effective options.

5 Tools for Detecting AI-Written Text Content:

• Originality.AI: Detects AI content from multiple models (GPT-3, GPT-4, ChatGPT, etc.) and checks for plagiarism. They claim up to 94%. Best for: Content creators.

• Content at Scale: Analyzes longer content for SEO and marketing.

• Writer AI: Detects AI text and offers humanization suggestions. Best for: Businesses seeking to refine AI content.

• Hive AI Detection Tools: Detects AI text, images, and deepfakes. Best for: Large-scale content moderation and detection across various media types.

• GPTZero: Great for educational and enterprise use cases. Detects AI content from ChatGPT, GPT-4, and other AI models.

Spotting AI-Generated Images

The rise of artificial intelligence generated images has created new challenges for content authenticity.  Remember that viral photo of Katy Perry at the Met Gala?. She wasn’t there; it was AI-generated.

Photo Credit: The New York Times.

Thanks to tools like DALL-E, Midjourney, and Stable Diffusion, creating ultra-realistic images artificial intelligence images and artificial intelligence photos that are virtually indistinguishable from real ones is now astonishingly simple. I use Midjourney regularly, and the realism of these GenAI images can be both impressive and scary sometimes.

For brands and marketers, creating stunning visuals very cheaply and easier than ever. On the other, how do you maintain authenticity when every image could be fake? Take Dove, for instance, the beauty brand committed to never using AI to create or distort women's images in their recent campaign #KeepBeautyReal. If you haven't seen this ad, I recommend you watch it here.

Here’s how to spot AI images:

• Weird or missing details (fingers, hair)
• Asymmetrical faces or hands
• Messed up text
• Blurry backgrounds
• Overly sharped images

5 Tools for Detecting AI Images:

• Sensity AI: detects deepfakes videos, images, audio and identities. It's particularly strong at identifying facial manipulations.

• Deepware AI: Specializes in deepfake detection.

• Illuminarty: Provides AI generation likelihood.

• AI OR NOT: Detects AI-generated images & audio for your businesses and end-users.

• Hugging Face Tools: open-source free tool that lets you upload a picture to get the likelihood of it being AI generated.

Deep Fakes and AI-Generated Videos

AI video platforms like Synthesia can boost engagement by 300% compared to traditional videos but they also pose risks.

The deepfake video of Tom Cruise fooled millions (image above, Photo Credit to TheVerge.com). 

This year, CNN reported how a Finance worker at a multinational firm was tricked paying out $25 million to fraudsters after a video call with deepface 'Chief Financial Office'r!.

Here’s how to detect AI videos:

• Awkward facial movements and blinking patterns
• Inconsistent lighting and shadows

Tools for Detecting AI-Generated Video:

• Sensity AI: Detects deepfake videos and other malicious media.

• Deepware AI: Uses machine learning for deepfake detection.

Additionally, social media platforms like Instagram and TikTok started requiring users to mark content as AI-generated when publishing new content. While it's unclear how these platforms are using that voluntary categorization in their algorithms, this move marks a step towards increasing transparency about AI-generated content. The effectiveness of this approach relies heavily on user honesty and platform enforcement, but it's a start in addressing the challenge of AI content detection.

AI – Cloned Voices

Imagine if someone could take your voice and make you say whatever they wanted. 

With artificial intelligence voice generators like Eleven Labs and Deepgram, turning any text into a human-sounding voice for various applications (videos, avatars, voiceovers) has become remarkably simple. All you need is to upload a few audio samples.

According to the Federal Trade Commission (FTC), consumers lost nearly $3 billion from impersonation scams in 2023. 

Here’s how to detect cloned voices:

• Unnatural pauses or intonations
• Suspicious calls requesting quick financial actions.
• For families: agree with your family to use a secret passcode in case you receive unsolicited suspicious calls asking for money to help authenticate the call and prevent getting scammed.

Businesses need to protect themselves from scams as well.  In 2021, Forbes reported how cybercriminals used AI voice cloning to impersonate a company Director and tricked the company’s Branch Manager into authorizing transfers of $35 million! Ouch!.

Consider using AI Voice Detector technology to authenticate voices in legal proceedings, media interviews, customer service calls, for universities to prevent students from cheating on oral remote exams as well as to avoid falling victim of financial fraud.

Top Tools for Detecting AI Voices:

• AI Voice Detector: Analyzes audio files to detect AI voices.

• Resemble Detect: Developed by Resemble AI, this tool generates AI Voices, it Identifies voice cloning or synthetic speech.

• Voice Biometrics: uses unique vocal characteristics to identify individuals, creating a "voiceprint" for authentication. Advanced detection tools like Nuance Gatekeeper analyzes over 1,000 voice characteristics in real-time to spot synthetic voices. Similar solutions from NICE, Veridas and Phonexia combine voice biometrics with AI to verify caller identities and detect fraud attempts. 
  
  These tools enhance security in various applications, from call centers to mobile banking, while also improving the customer experience by streamlining authentication processes.

Important Considerations

• No tool is foolproof: AI generation techniques evolve rapidly, and detection tools are constantly playing catch-up. An OpenAI's 2023 study shows even the best detectors achieve only 26% accuracy on GPT-4 generated text. False positives and negatives are possible.

• Use multiple tools: Combine different approaches for the best results. This provides a more comprehensive analysis and increases your confidence in the assessment.

• Human judgment is key: Always rely on your own critical thinking. Look for inconsistencies, unnatural patterns, or artifacts that might indicate AI involvement.

Implications for Businesses

As businesses increasingly adopt AI technologies, it's crucial to be aware of artificial intelligence risks. Here are some key considerations for business leaders:

1. Invest in AI literacy training for staff.
2. Develop clear policies on AI use and communication.
3. Human oversight in content creation. Implement a two-step process where AI drafts and humans refine.
4. Use multi-type AI detection tools (i.e.Hivemoderation) for comprehensive analysis and support bulk processes or API integrations.

Humanizing AI-Generated Content

To stay ahead of AI detectors:

• Avoid overused words like "delve" or "unlock". Access my FREE Cheat Sheet of AI Overused Words to Avoid and Humanize Your AI Content.
• Inject personal anecdotes or unique insights.
• Embrace imperfection with varied content structures. Pro-Tip: sprinkle in the occasional typo or conversational phrase.
• Use humanization tools like BypassAI, AIHumanizer, Undetectable AI, StealthWriter.

Looking Ahead

AI and detection methods are evolving fast. Stay informed and combine technological solutions with human insight to maintain trust and authenticity in your communications.

Key Takeaway: AI content is here to stay, but so is the need for human expertise. Finding the right balance will help maintain trust and authenticity.

👉Follow me for more AI insights.

👉Book a call with me to help you craft a winning AI marketing content creation strategy tailored to your needs. 

#artificialintelligence #AIvoice #AIchecker #Aidetector #AIContent #DigitalMarketing #BusinessStrategy #ContentCreation #TechTrends