Some of the AI deployments we might get to see in lesser than a decade are autonomous driving, data-driven preventive maintenance, powerful surveillance and monitoring systems for transportation and pedestrians, sustainable mobility, advanced traveler infotainment systems and services, emergency management systems, transport planning, design and management systems and at last but not the least, environmental protection and quality improvement systems.
It’s high time that organizations realize that while the long-term information security environment is likely to become better in obvious ways, it is likely to worsen in subtle ways due to technology and vested interests. The key to understanding this phenomenon lies with, how tomorrow's information systems are going to be used. This calls for an active participation in Information Security Management System activities right from the top to the very bottom of an organization.
Information Security Management System (ISMS) will not only benefit from AI technology but also get a new direction in the future. This domain will slowly move towards governance, risk management and continuous monitoring. AI will help identify the known unknown and the unknown known too. AI will detect security threats, automate SOC response and improve the turnaround time in attack remediation. In fact, AI is a technology that ISMS cannot afford to miss; growing to 62 percent by 2018, with a prediction of a 300 percent year-on-year increase in AI investment this year, AI is clearly here to stay.
Today AI needs a global governance, a team that would dictate the implementation of AI and act as a monitoring body for the whole globe, of course with a fair representation from all continents.
Artificial Intelligence (AI) is hardly in its infancy stage. It is not that accessible and thus the AI based solutions that we are using or are being deployed are far inferior to what we expect in the next two to three decades. Two AI bots could often fight each other if pitted that way, and this fight could last for centuries the way we look at AI right now. All this indicates that AI needs strong leadership; a leader who can set the direction, control and govern the very innovation.
Some of the fastest applications that will be dominated by IoT are healthcare devices, wearable devices to enhance currently restricted capabilities, energy saving devices and smart devices for inter-connectivity in real time use. We will soon have smart homes, connected mobility (transportation), smart cities, and even smart forest zones and marine life to create better air, water and live a healthier life. We need devices that will bridge the gap between physical and digital world to improve the quality and productivity of life, society and support the eco-system.
The big question to ask is was we even prepared for AI? Or to be more practical what are we doing to create either a New World Order or a strong Global Governance that would assure a smooth humane implementation of AI, in the best interest of humans and their immediate imminent surroundings that include plants, animals, birds, marine-life and this planet’s natural resources? Governance in AI demands engagement at multiple levels that include a range of research sprints, local and international pilots, governance community building efforts, continuous interaction with AI developers & business owners and other outreach activities.