Artificial Intelligence, Chat-GPT, and more: Articles

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• Cade Metz. (May 2023). The Godfather of A.I. Leaves Google and Warns of Danger Ahead.

• Noam Chomsky, Ian Roberts and Jeffrey Watumull. (March 2023). Noam Chomsky: The False Promise of ChatGPT.

• Chiang, Ted. (February 2023). ChatGPT is a Blurry JPEG of the Web. 

• Ortiz, Sabrina, Associate Editor, ZDNet (March 2023). ChatGPT's next job? Co-pilot to help better invest your money.
  A new study found the AI chatbot can help you make more balanced investment decisions. But don't think of it as a get rich quick scheme.

• Loten, A. & Hand, K. (July 2021). How computers with humanlike senses will change our lives. The Wall Street Journal.
  Capabilities powered by artificial intelligence, like image or voice recognition, are already commonplace features of smartphones and virtual assistants. Now, customized sensors, machine learning and neural networks—a subset of AI that mimics the way our brains work—are pushing digital senses to the next level, creating robots that can tell when a package is fragile, sniff out an overheated radiator or identify phony Chardonnay. Hype around AI is running high, and much of the research is in early stages. [In this article, the WSJ] look[s] at 10 working models and prototypes of AI with sensory abilities.

• Uberti, D. (July 2021). After backlash, predictive policing adapts to a changed world. The Wall Street Journal.
  It was a seductive pitch to city governments and police departments: Use predictive software to deter crime before it is committed. 
  Artificial intelligence-powered algorithms, the software companies said, could chew up data on incident reports, weather, time and other variables, learn historical patterns, and spit out forecasts faster, cheaper and more accurately than human analysts. Using big data to put cops in the right place at the right time would help discourage crime. 
  
  Federal funding helped push such tools to police departments in Los Angeles, New York and elsewhere in the 2010s. More recently, however, those tools have faced pushback. Criminal-justice advocates warn that a disproportionate number of reported incidents involving low-income people or people of color could lead to outsize police footprints in their communities and unequal enforcement relative to total crime. Some academics question how effective the tools really are.

• Fitch, A. (July 2021). Could AI keep people ‘alive’ after death? The Wall Street Journal.
  Digital personas take many forms, from chatbots to animatronic robots to moving projections that gesture and speak like the real thing. AI is usually central to building and training them to interact with people. Already, hologram-like projections of dead musical artists, including Roy Orbison and Tupac Shakur, have performed on stage.

Researchers and entrepreneurs are starting to ponder how artificial intelligence could create versions of people after their deaths—not only as static replicas for the benefit of their loved ones but as evolving digital entities that may steer companies or influence world events.

• Olson, P. (July 2021). Faces are the next target for fraudsters. The Wall Street Journal.
  Facial-recognition systems, long touted as a quick and dependable way to identify everyone from employees to hotel guests, are in the crosshairs of fraudsters. For years, researchers have warned about the technology’s vulnerabilities, but recent schemes have confirmed their fears—and underscored the difficult but necessary task of improving the systems.

Facial recognition for one-to-one identification has become one of the most widely used applications of artificial intelligence, allowing people to make payments via their phones, walk through passport checking systems or verify themselves as workers.

Analysts at credit-scoring company Experian PLC said in a March security report that they expect to see fraudsters increasingly create “Frankenstein faces,” using AI to combine facial characteristics from different people to form a new identity to fool facial ID systems.