Genius On My Shoulder - Robot Writers AI

#artificialintelligence 

A writer for The New Yorker muses on the impact of writing generated by artificial intelligence -- and how surprisingly powerful it can be. Specifically, he takes a look at Google Smart Compose and similar predictive text tools driven by AI. His experience with Smart Compose -- which auto-completes sentences you write when using Google email -- was particularly eye-opening. "Perhaps because writing is my vocation, I am inclined to consider my sentences, even in a humble email, in some way a personal expression of my original thought," author John Seabrook observes about his experience with Smart Compose. "It was therefore disconcerting how frequently the AI was able to accurately predict my intentions, often when I was in mid-sentence, or even earlier. "Sometimes, the machine seemed to have a better idea than I did." Bottom line: This article in The New Yorker is an extremely in-depth, high quality read. Karlsson is CEO of United Robots, an AI-generated writing solutions provider that has been outfitting publishers with AI during the past four years. The "process often acts as a catalyst for a healthy newsroom discussion around how and why its journalism is created," Karlsson observes. "The positive outcome is not just the automatically generated content, but also a deeper understanding among journalists of how the work is done and why," Karlsson adds. "The process creates a new level of ownership -- of the language, the values, the dos and don'ts." Essentially, these tools ensure the AI editing and writing tools you're using are also optimizing your content for the search engines. SEO-optimized copy ensures your Web site or other digital property can rank as high as possible in search engine returns. The tools profiled in this article are Ink, Grammarly, SEO Writing Assistant, Pro Writing Aid, WordAi and AI Writer. "Some of the main issues, I think, relate to uncertainty around the accuracy of evidence produced by AI systems, as well as the labeling of automation to ensure that end–users are aware of its use," says Nick Diakopoulos. Diakopoulos is an assistant professor in communication studies and computer science at Northwestern University. "Another issue is the quality of data that is fed into AI systems," Diakopoulos adds. "It's well understood that if biased data is fed into a machine learning system, the system will learn those biases.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found