Artificial Intelligence (A.I.) is for the time being and important new domain to be discussed. As far I am concerned, perhaps the most productive debate we can have at the conference in the 2017 edition isn’t the one of good versus evil, the rise of the machines or singularity is near. The debate could be about the guidelines instilled in the people and organizations using A.I., something that cybernetics tried to push back in the 60’s.
Why the human element still matters?
At the same time that demand for efficient, transactional, prediction-driven workplace systems is on the rise, just look around you and you will realize that most of the interactions you have with companies or even to perform daily tasks – like find the better route to commute – have embedded intelligence and are context aware, taking into consideration your location, profile and transactional history. However, there are a set of skills we seemingly don’t want systems to perform. Despite new techniques like deep learning are denting our ability to prevent we will become dispensable, emotional intelligence is said to be among the fastest-growing job skills, and some experts say the ability to collaborate and listen thoughtfully can even protect your position and help advance your career over the next decade as automation progresses. This is probably the reason that contact centers were not totally replaced by robots. Yet.
I would argue that perhaps the most productive debate we can have isn’t one of good versus evil. The debate should be about the values instilled in the people and institutions creating this technology. We must enforce technology with protections for privacy, transparency, and security. A.I. must be designed to detect new threats and devise appropriate protection and must be inclusive and respectful to the human being. This put an extra challenge – more than discussing on rules, policies and how to implemented coding, is the foundation principle on what is right and what is wrong. The definition of a concept, a domain, is a consequence of the surroundings, of the environment we live and the multitude of human principles and beliefs. What in a society can be accepted as a practice, in other can be condemned.
Advances in technology is powering the next industrial revolution, basically blurring the physical and the digitaldivide. Technology is today omnipresent. Capitalizing on this phenomenon is the key to innovation. From the rise of A.I. and related technologies, the challenge and opportunity for business leaders is to harness the ubiquitous, disruptive force of technology to be more agile, fuel efficiency and ultimately shape the shape of the industry destiny. Definitely in this next industrial revolution, we are facing a range of new technologies that combine the physical, digital and biological worlds. Failure to understand how to embrace A.I. into operations and business models, may end up of being out of market.
For healthcare, A.I. can advance recommend the most effective treatments for their patients, as well as, predict human body organs failure and increase our life expectancy.
For transportation, A.I. can improve the efficiency transportation systems, integrating supply chain on real time, prevent incidents, optimize the fuel consumption and safety and support maintenance of infrastructure.
For public safety, A.I. can deploy predictive models for crime and help security forces to find associations in massive amounts of information to spot insurgency and handle complex crime cases.
For financial services, A.I. can manage must better risk exposure, by ingesting millions of data segments used in risk models, reduce fraud and tax evasion, assist in providing the best insurance coverage at the right cost combining data provided by the customer and its relationships.
For individuals, A.I. can assist humans in developing personalized recommendations based on the stage of life the individual is, combining data about the individual preferences, beliefs and transactions.