As a result, if they detect that you are blindly publishing articles a bot wrote, these systems may demote all of your content. There is a bit of an arms race where algorithms are built to detect bots, and bots are built to circumvent the algorithms.
Currently there are risks associated with automating these tasks, especially if customers have unique requests that the machine cannot interpret even worse, an algorithm could be trained on data with prejudices and exhibit those to customers.
I can see a future where most call center and customer support jobs are automated. Rather than a large number of employees doing stressful repetitive tasks, you would have a smaller number of people who constantly monitor and update this automated engine.
Works done only by humans are copyright protectable, and only humans can hold copyright. What does this mean for GPT?
For a detailed analysis I recommend watching this video by Legal Eagle
https://t.co/mICQbdaUBi
Steps to vet technology partners for diversity:
1. check their ad copy--- is this something they care about?
2. Ask about their processes--- how do they make sure their products are inclusive?
3. Test it with a diverse group of pepole
4. GIve candid feedback
It is hard to make sure a product works for everyone. There are 8 billion people in the world you can't be 100% sure a product works for everyone unless you test with everyone. Your voice can help guarantee technology partners will fix any problems with algorythmic inclusivity
To vet a new technology:
Get a diverse group of peers to try the system. See if experience differs in any way. What would ideal behavior look like? If anything doesn’t work, provide feedback to the company so they have the opportunity to improve it.