Risks of AI visual production
AI image generation、It is starting to be used in many visual productions such as advertising, EC, SNS etc.。
Because images can be created in a short time、It is also attracting attention in corporate marketing.。
However, the AI visual、Risks that companies should be aware ofalso exists。
The following three are particularly important:。
- Copyright issue
- brand alignment
- Spreading misinformation
AI is a useful tool, but、Improper operation can affect a company's reliability。
In this article、We will organize the risks of AI visual production that companies should be aware of.。
Copyright risks
In AI image generation、Copyright debate continues。
AI learns large amounts of image data to generate images.、That training data may include existing works。
Therefore、The following problems have been pointed out。
For example
- An image similar to an existing work is generated.
- An image similar to the style of a specific artist is generated.
- The rights to the original work are unclear.
At present, the way of thinking differs depending on the country and tool.、Commercial use requires careful judgment。
When companies use AI visuals、It is important to check the terms of use and operating rules of the tool.。
Brand alignment issues
While AI image generation has a high degree of freedom,、Visuals that do not match the brand image may be created.。
For example
- Expressions that differ from the brand's worldview
- Character expressions that do not match the corporate image
- inappropriate visuals
AI doesn’t understand brand strategy。
Therefore, if you use the AI-generated image as is,、Brand consistency may be disrupted。
In corporate visual production、Verify brand alignmentbecomes important。
Spreading misinformation
AI image generation、You can create realistic visuals that don't exist.。
While this expands the possibilities of expression,、Risk of misinformationalso produces。
For example
- photos of non-existent places
- person who doesn't exist
- Representation different from actual product
These visuals、may be taken as a fact。
In corporate advertising and public relations、Visual authenticity matters。
Therefore, care must be taken when using AI visuals.。
Product expression risks
In EC and product advertising、Must provide accurate information about the product。
Product visuals created with AI image generation、If the product is different from the actual product、The following problems may occur:。
For example
- Product color is different
- The size is different
- Specifications are different
These misunderstandings、May lead to trouble for buyers。
Therefore, the product visual、Many companies use real photos.。
AI visual quality issues
In AI image generation、Attention should also be paid to visual quality.。
For example
- unnatural structure
- distorted hands and fingers
- unnatural shadow
AI images may seem real, but、There may be problems with details。
In corporate advertisements and brand visuals、The quality of these details is also important.。
Therefore, AI visual、Human check is always requiredです。
AI visual production management
When using AI visuals in companies、What's important isProduction Managementです。
For example
- Setting AI usage rules
- Check brand guidelines
- quality check
Using AI without such controls、higher risk。
AI is a useful tool, but、Appropriate operation is required。
summary
AI image generation is expanding the possibilities of visual production.、There are also risks for companies。
The following points should be especially noted:。
- Copyright issue
- brand alignment
- Spreading misinformation
- Misunderstanding of product information
- visual quality
AI visual、If used correctly as a tool, it can increase the efficiency of production.。
However, in corporate visual production、Operate after understanding the risksbecomes important。
▶︎ [Can advertising photos be created with AI? Possibilities of AI advertising visuals]
▶︎ [AI visual production practice | Prompt design and production process]
▶︎ [AI creative cost structure | How do costs change with AI production]
