Age of AI-Blog #10

 With AI advancing, Jobs are being threatened by AI and could be taken over by AI in the next 15 years. AI is predicted to automate many jobs, especially those involving repetitive tasks like data entry, customer service, for example. It's also expected to create new roles in areas like AI engineering and prompt engineering. While some see significant job displacement, others believe AI will ultimately increase efficiency and create new economic opportunities. (University of Michigan Journal of Economics) 

Google is a search engine that we practically use for everything. We use it to look up information, navigate where we are going, translate different languages, and even explore images, but did you know that, when we are searching Google, Google is searching us too? A federal court has ruled that Google illegally monopolized key segments of the digital advertising market. It marked a significant development in antitrust against Big Tech. (https://www.nytimes.com) 

Key Findings of the article: 

• Monopoly in Ad Tech: Judge Leonie Brinkema determined that Google violated antitrust laws by dominating the publisher ad server and ad exchange markets. ​
• Anticompetitive Practices: The court found that Google engaged in "tying" practices, requiring publishers to use its ad exchange to access its ad server, thereby suppressing competition and inflating costs for advertisers and publishers. ​ 

Right now, in the current age of AI, new digital rights are emerging. So what does that mean for us? It means people are demanding the Right to know when their data is being collected, and the Right to say no to companies selling their personal information. (https://www.accessnow.org) In some places, like California, for example, there are laws like the California Consumer Privacy Act (CCPA) that are in early steps towards empowering individuals against big tech overreach. 

As time goes on and AI continues to advance, AI has gotten better at predicting human behavior. Which is a little bizarre, right? But studies have shown that it can identify individuals at higher risk of suicide and depression, and sometimes more accurately than the traditional screening methods. (National Library of Medicine ) While on one hand, it could help save lives, on the other hand, it raises serious privacy and ethics questions about who controls that information.