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Lets see l how well you spot Fake vs Real, what's your score?

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Are you ready to put your skills to the test? Simply look at the image presented to you and decide if you think it is real or a creation of AI.

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Please click on the + button,

type your name,

click on A Image.

Ask Ai to create an image of: boardroom members or a highly academic performing students,

Ask to create an image for you

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We already know DeepFakes can be quite believable, but just how believable are they? Kaggle's Deepfake Detection Challenge (DFDC) recently sought an algorithmic answer to this question of detecting fakes. The description on the Kaggle Website explains, "AWS, Facebook, Microsoft, the Partnership on AI's Media Integrity Steering Committee, and academics have come together to build the Deepfake Detection Challenge (DFDC). The goal of the challenge is to spur researchers around the world to build innovative new technologies that can help detect deepfakes and manipulated media." The winners of the Kaggle Competition were awarded $1,000,000.

Rather than fine-tune the best machine learning model for this Kaggle competition, we are curious about strategies and techniques for building public awareness of DeepFake technology and helping ordinary people think critically about the media that they consume.

We hypothesized that the exposure of how DeepFakes look and the experience of detecting subtle computational manipulations will increase people's ability to discern a wide-range of video manipulations in the future. As such, we hosted a website called Detect Fakes to display thousands of the curated, high-quality DeepFake and real videos from the DFDC dataset publicly. The latest version of the website shows 32 videos that were produced as part of the Presidential Deepfakes Dataset.

The Detect Fakes experiment offers the opportunity to learn more about DeepFakes and see how well you can discern real from fake. When it comes to AI-manipulated media, there's no single tell-tale sign of how to spot a fake. Nonetheless, there are several DeepFake artifacts that you can be on the look out for.

1. Pay attention to the face. High-end DeepFake manipulations are almost always facial transformations.

2. Pay attention to the cheeks and forehead. Does the skin appear too smooth or too wrinkly? Is the agedness of the skin similar to the agedness of the hair and eyes? DeepFakes may be incongruent on some dimensions.

3. Pay attention to the eyes and eyebrows. Do shadows appear in places that you would expect? DeepFakes may fail to fully represent the natural physics of a scene.

4. Pay attention to the glasses. Is there any glare? Is there too much glare? Does the angle of the glare change when the person moves? Once again, DeepFakes may fail to fully represent the natural physics of lighting.

5. Pay attention to the facial hair or lack thereof. Does this facial hair look real? DeepFakes might add or remove a mustache, sideburns, or beard. But, DeepFakes may fail to make facial hair transformations fully natural.

6. Pay attention to facial moles. Does the mole look real?

7. Pay attention to blinking. Does the person blink enough or too much?

8. Pay attention to the lip movements. Some deepfakes are based on lip syncing. Do the lip movements look natural?

These eight questions are intended to help guide people looking through DeepFakes. High-quality DeepFakes are not easy to discern, but with practice, people can build intuition for identifying what is fake and what is real. You can practice trying to detect DeepFakes at Detect Fakes.

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Project Overview ‹ Detect DeepFakes: How to counteract misinformation created by AI - MIT Media Lab

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Participate in the experiment at https://detectfakes.media.mit.eduCheck out our publications in PNAS, a workshop at IJCAI, and pre-print on arXiv. Ch...

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Honesty. Confidentiality. Litigation. Critical thinking

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It provides a false sense of what is true or real.

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My Ethical Concerns are that AI will take over critical thinking skills, Collaborations and also, students really owning their learning.

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Fairness

Integrity

Honesty

Right vs. Wrong

Equity

Equitable

Access

Exposure

Scams, hacks, phishing

Oversharing of personal information

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Accusing a student of cheating, using resources and fairly grading work.

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-cheating

-ability to monitor use

-"fake news"

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Online student bullying

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putting too much detail into getting student support

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putting too much detail into getting student support

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That we are being bamboozled by people who are stronger in technology and young minds are falling for it.

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That AI will take over the world and deplete our natural resources! - LAURA

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That student's learned to use AI against other students.

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That student's learned to use AI against other students.

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Identity theft concerns..using your pictures and voice to create new images and videos with your voice.

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Identity theft concerns..using your pictures and voice to create new images and videos with your voice.

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-thinking everything is real or true

-quick/instant info rather than having to research, expectation to have answers at your fingertips at all time

-slowly losing the ability to write well

-dependency on instant answers

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Students will start to become even more dependent on technology which can in hand affect social interactions

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Students not developing their own writing, reading, math skills

Using it to bully others via an AI character

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Decline in critical thinking skills

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When you copy the majority of the work from a different source

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