[AIGC] AI fraud, do the following, no need to worry

foreword

In recent years, the rapid development of artificial intelligence (AI) technology has brought many conveniences to our lives. However, a coin always has two sides. With the widespread application of AI technology, AI fraud has gradually become a concern. A recent news about AI face-swapping fraud has spread all over the Internet, and it deserves our attention and precautions.

List several forms of AI fraud and how to identify them

1. Fake videos and pictures generated by AI deep learning

Realistic fake videos and fake pictures can be generated by using deep learning technologies such as GAN (Generation Against Networks), which can be used for fraud. For example, generate statues of dignitaries for fraudulent donations, or generate deepfake videos for extortion.

recognition methods

• Check the details in the video/picture, AI-generated image details are usually not realistic.

• Detect digital signatures of images/videos, signatures of real content are different from AI-generated ones.

• Biometric authentication of important people to ensure that the people in the video are real.

2. AI automatically generated German or voice

Using RNN, Transformer and other technologies can automatically generate articles, comments or speech. These AI-generated content can be used as false word-of-mouth for promotion and marketing, or automatically published on various platforms to manipulate public opinion.

recognition methods

• Check the coherence and rationality of the content. The content logic generated by AI is usually not complete.
• Analyzing the linguistic characteristics of the content, the language generated by real people is more abundant and diverse. AI-generated language tends to be more average.
• In the big data environment, analyze the difference between the user's past real language characteristics and generated content. If the difference is too large, it is suspected to be AI generated.

3. AI automatically registers account and swipes data

AI can be used to automatically register various accounts, and forge active data for brushing, which can be used for marketing promotion or to manipulate public opinion.

recognition methods

• Check the account registration date and geographical distribution, the accounts automatically created by AI will be obviously different from real users.
• Analyzing the real activity of the account, most of the accounts controlled by AI have low activity and simple interaction.
• Manually review important accounts or active users to verify their authenticity.

4. AI intelligent defense mechanism

Some AI systems will deploy various intelligent defense mechanisms to avoid detection, such as the diversity selection of generated samples, the timing control of linkage operations, etc., which makes its behavior more difficult to identify.

Countermeasures

• Utilize more advanced and robust AI models for detection to overcome adversary defenses.
• Manual intervention and review, manual review is currently the most effective means of winning.
• Implement behavioral verification codes or biometric mechanisms to increase the difficulty of fraud.

Summarize

AI fraud is becoming increasingly difficult to identify and prevent, but effective defenses can still be established as long as sufficient resources are invested. The key is to comprehensively utilize the two methods of artificial intelligence and manual review, and give full play to the synergistic effect of humans and AI, so as to build a more complete defense system and deal with future AI fraud.

How to prevent it?

1. Increase public vigilance

Improve the public's awareness and vigilance of AI fraud, educate the public to identify false information generated by AI, and not trust all kinds of information on the Internet, especially important or sensitive information. This can reduce the impact and harm of AI fraud.

2. Develop AI monitoring technology

Use AI technology to monitor network information, user accounts and activities, and identify abnormal situations. For example, detecting the authenticity of images/videos, analyzing language and behavioral features to identify fraudulent content, detecting fake accounts and activities, etc. This requires the development of more robust detection models and algorithms to defend against AI fraud.

3. Strengthen manual review in key areas

In some key areas such as political public opinion, medical information, etc., it is necessary to strengthen the strength of manual review. Manual review is currently the most effective means, which can help to see through various fraudulent mods operandi of AI. The review of key information releases should be strengthened, and third-party review should be conducted open source.

4. Improve laws and regulations

Formulate special laws and regulations to prohibit and punish fraudulent acts using AI technology. Clarify various AI fraud models and their legal consequences, and provide institutional guarantees for law enforcement. At the same time, relevant companies need to be required to incorporate the monitoring of AI fraud into corporate social responsibility.

5. International cooperation and exchanges

AI fraud is a global problem that requires extensive cooperation and exchanges among countries and regions. Share case studies and monitoring and identification technologies, and jointly combat cross-border AI fraud Organization. Unify relevant laws, regulations and ethics on a global scale to create a healthier and better environment for the development of AI.

6. Open source sharing of key technologies

Open source releases some key monitoring technologies, identification models and big data, encourages research institutions and enterprises to make innovative improvements, and form a joint defense force. In particular, some small enterprises are difficult to deal with AI fraud, and open source technology can help them have basic monitoring and defense capabilities. Open source can also accept wider social audits to discover loopholes and deficiencies in technology.

Summarize

To prevent AI fraud, we need to take comprehensive measures to raise public awareness, develop monitoring technology, increase manual review, improve regulations, carry out international cooperation and open source technology. Only by solving it systematically can we build an effective defense system and deal with the increasingly severe challenge of AI fraud.

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