AI Adoption by Masses: Achieving the Level of Trust

Artificial Intelligence(AI) is today used in homes, offices, cars, and often in everyone’s pockets now. As technology has continued to grow its role in the society, there remains an important question: what level of trust can or should be placed in these AI systems? After exploring this question, researchers have found many areas that are transformed by the use of AI systems and technologies both in businesses as well as household.

Time, transparency, and accountability are the primary keys to building trust, especially for technology designed to think like humans. Trust can nevertheless evolve over time. K.R. Sanjiv, CTO at Wipro Limited, stresses that people will remain accountable until AI is fully explainable. For instance, doctors interpret the AI-derived pathology reports of their patients and aircraft autopilot systems to alert people to emergencies.

AI algorithms are designed to think like humans. Much like the human brain, the adequate algorithm will develop massive quantities of data and identify previous patterns to predict the future. Many previous attempts are ineffective or unsatisfactory because people create partial or false information about the system’s input. AI’s clever, but like all technology, it’s a tool that users can trust to do what people say.

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AI know-how will completely remodel the office, and some non-routine jobs will be digitized through robotics and automation. Collaborative robots or ‘co-bots’ will enable better efficiency while removing some of the daily pressure from the workforce. AI and robotics can eliminate various unwanted work process in the offices such as manual data collection and processing, free up companies from time-consuming administration and allow them to concentrate on other more creative aspects of their business.

AI already offers better, personalized services. Retailers can currently use AI to optimize dynamic pricing in minutes, for instance. In the future, this will be extended to several others, like self- driving cars which require the software to make harder decisions, such as recognizing a pedestrian and choosing not to hit him, even if he swerves the car or takes some tolerable risk.

Artificially intelligent personal assistants, diagnostic devices, and automobiles standardize AI sufficiently that most of the technology’s initial fears disappear.