Throughout 2017, from CIOs to academics to media, everyone was excited about AI. The hype went on increasing until an Uber self-driving car caused the death of a woman in Arizona. Just a week before the accident, MIT Technology Review published an article that made an eye-opening enquiry—who is responsible for an AI-led death. In this article at CIO, Client Boulton shares with you 6 challenges of artificial intelligence that you must analyze before adopting the technology.
6 Worrisome AI Aspects
AI is still at a very early stage. It needs to be a lot more sophisticated to match up to the expectations you have from it. Along with the positive aspects, be aware of the challenges you might face. Thomas Davenport, a professor at Babson College, dismisses media warnings about artificial intelligence as negative publicity. However, there are some undeniable concerns associated with the technology.
- Ruining Relationships: Microsoft’s Tay chatbot disaster is a perfect example of how you cannot leave everything to artificial intelligence. A single miscommunication can result in the decline of your company’s brand value. You must have a thorough knowledge of the systems before introducing them to your services.
- Line of Sight: Fei-Fei Li, Google’s AI scientist and Stanford University professor, points out that the technology still cannot surpass humans in terms of visual accuracy. Developers must gather more knowledge about human eye to incorporate that in artificial robots.
- Beyond Network Coverage: Dan Farris, co-chairman at Fox Rothschild, remarks AI is still not at par with human understanding of integrity, setting, and information. So, introducing the technology in highly regulated sectors can cause mayhem. Artificial Intelligence can give out biased suggestions based on historical data instead of suggesting a more relevant advice.
- Human-Induced Prejudice: LivePerson CEO Rob LoCascio notes that the thought process behind AI is mostly biased, an example being the female voice associated with Alexa, Siri, and Cortana. While working on a project that dealt with Google Street View images, Stanford University Ph.D. student Timnit Gebru found out that the application’s artificial intelligence is filled with biases related to culture, gender, and society.
- Sophisticated Terrorism: If AI has triggered interests in all our minds, why would the hackers and terrorists stay behind? Cambridge, Oxford, and Yale researchers came up with a report depicting how AI can be used to create misunderstanding through impersonation or hack into legitimate systems to spread fear and terrorism.
- AI Dependency: Tesla and SpaceX Entrepreneur Elon Musk thinks artificial intelligence makes you more dependent on its services. Due to automation, humans will increasingly find themselves useless, projects Yuval Noah Harari, an Israeli historian.
Despite all the potential challenges, 85 percent of CIOs are ready to launch their AI programs by 2020, Gartner reports. However, the research firm suggests building an ethical framework around the technology.
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