Data as the New Oil: Where Does the Privacy Line Run in the Age of LLMs?
A philosophical look at data collection. We discuss how companies and foundations can use data to train models without crossing moral boundaries or violating user rights.
A philosophical look at data collection. We discuss how companies and foundations can use data to train models without crossing moral boundaries or violating user rights.
We examine the ethical dilemma of “human imitation.” Why honesty with the user builds stronger trust than attempting to pass a quality AI agent off as a live employee.
We explore the problem of discrimination in artificial intelligence. How it happens that algorithms deny help to certain groups of people, and how developers can prevent this.
We discuss the ethical obligation of organizations to always provide the option for live communication. Why locking a client or beneficiary alone with a bot in a crisis situation is unacceptable.
We address society’s biggest fear regarding job loss. We explain why the future lies not in full automation, but in synergy where AI handles routine tasks and humans retain empathy.
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