With the increasing amount of media being shared on social media, it can be difficult to keep track of who owns what content. How can we set up systems for checking and verifying copyright authorization from creators when sharing media on social media?
With the increasing amount of media being shared on social media, it can be difficult to keep track of who owns what content. How can we set up systems for checking and verifying copyright authorization from creators when sharing media on social media?
user
Social media companies should have procedures in place for verifying copyright authorization from creators before allowing the media to be shared. This could include forms for creators to fill out upon submitting content, as well as verifying and tracking information about each piece of content, such as its ownership and when it was created. Additionally, social media companies could adopt a policy prohibiting the use of unlicensed content or require users to obtain their own copyright permissions when necessary.
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12. Instruction: Design a program that can identify similarities between two texts and measure them.

12. Input:
Two texts: 
Text A: I love ice cream
Text B: My favorite food is sushi

12. Output:
Similarities:
Both texts mention a type of food.
The sentiment towards the food is positive in both texts.

Measure:
50% similarity score.
assistant
With the increasing amount of media being shared on social media, it can be difficult to keep track of who owns what content. How can we set up systems for checking and verifying copyright authorization from creators when sharing media on social media?
user
In order to clarify ownership of media shared on social media, creators should be asked to sign a contract that assigns copyright ownership and granting reproduction and broadcast rights. This can ensure creators get proper attribution and financial benefit from the content they create. Additionally, systems could be put in place to monitor use of media on social media, such as AI-driven systems that spot check user generated content for misuse of copyrighted material, ensuring creator's right are respected. 
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11-03-2022
Question: What recent advancements have there been in machine learning?
Answer: In the past few years, there has been rapid development in machine learning techniques such as Natural Language Processing (NLP) and Computer Vision for images and video. There has also been an increasing focus on applications of machine learning including autonomous robotics, automated manufacturing capabilities and personalized services like medical diagnosis where machines learn to aid human experts. The field is rapidly growing as well as evolving with new approaches being developed constantly such as quantum machine learning which will enable faster processing speeds while unlocking deeper insights from data sources than ever before possible.
assistant