How artificial intelligence is changing the world. Modern artificial intelligence systems can intercept and “understand” their surroundings in real-time; can make optimal decisions based on multiple signals within milliseconds. Artificial Intelligence is already changing our world with apps ranging from autonomous cars to healthcare.
AI is often associated with technophobic marketing or hype:
The media tends to exaggerate the possibilities and, in some cases, portray dystopia as a long-term result of AI. If we isolate this hype and focus on the advances made over the past few years, we will see some major technological advances with fascinating new opportunities. And we can certainly avoid dystopia: artificial intelligence will dramatically improve our world and quality of life under certain conditions.
The definition of artificial intelligence
A short, non-technical definition of artificial intelligence would be: Modern artificial intelligence systems can capture and “understand” their surroundings in real time while making optimal decisions about specific goals. Capturing and “understanding” an environment relies on processing multiple signals and data streams: technologies such as computer vision and natural language processing enable AI systems to “understand” images, videos, and natural language (voice or text). Here are some common examples.
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Computer Vision – Algorithms Can Now “See”
It is a fantastic achievement – the computer’s ability to “see” and identify entities, situations, and even stories in photos and videos. Any random image or movie can be analyzed “instantly” for popular objects (people, cars, houses, streets, trees, etc.) and optionally with additional context-specific logic. In addition, the algorithms can estimate additional image attributes and properties of the entities identified on it: in the example above, they can include the number of people in the picture, their gender, age, and even their emotional state or type of car and their brands. It is also possible to identify a situation related to an image or film, such as a children’s party, a sports event, a business conference, or random placement of people in the park.
The possible applications of computer vision are impressive: from autonomous cars that “see” 360 ° and understand their surroundings and their dynamics in real-time to special applications such as Microsoft Seeing AI – a prototype system to help the visually impaired or blind. Understand your surroundings. In the latter example, the user may request a detailed description of the surrounding space or update of changes; the answer could then be provided as a description in natural language using a synthetic voice. Navigation systems, robotics, medical examinations, online content management, and security systems are just a few indicative application areas based on Computer Vision.
Dialogue with the “machine.”
You need a short interaction with Amazon Alexa, Cortana, Siri, or Google Assistant to become aware of the huge advances in natural language processing technologies. Microsoft and IBM report that their NLP technologies perform at the same (or better) level than professional transcriptionists at discussing various topics. While NLP algorithms can still struggle with various accents and noisy environments, their performance improves quickly. Interaction with digital assistants ranges from ad hoc “question and answer” scenarios to “natural dialogue.” Digital assistants are getting smarter, driven by the wealth of data available to users and their environment;
Digital assistants will soon operate autonomously – for example, by initiating meaningful discussion triggered by non-obvious logic applied to guidance from the user environment and the system’s in-depth knowledge of the user and preferences, implicit or explicit. Most importantly, it will learn and improve based on your level of commitment and other lifestyle patterns.
The value of AI and concerns
Advances in artificial intelligence technologies, along with the growing possibilities to process and process vast amounts of data, are fueling this tremendous technological revolution that we are about to experience. In the Internet of Things (IoT) context, billions of connected devices send events and are operational. Big advanced data, machine learning, and intelligence technologies will store and process other data. This wealth of data, combined with the growing ability to make sense of them automatically, will create unprecedented opportunities for improving health, lifestyle, transportation, education, and virtually any human activity.
On the other hand, there are serious concerns and unanswered questions about possible social, political, and ethical implications. For example, “intelligent automation,” which can be achieved on a large scale with AI, is expected to change the way we work and the skills we seek. As tasks are progressively fully automated, roles will become obsolete, and some professions will eventually disappear.
Preparing for the AI revolution
A technological revolution has arrived that is already changing our world. People must first prepare by understanding the technology, its potential, and the associated risks; then enter the Lifelong Learning mode to acquire new skills and discover new talents more suited to the latest market order.
States must understand the new dynamics and adapt by modernizing laws, frameworks, social programs, and the education system. Opinion leaders must implement the right rules and global agreements to avoid centralizing power and control of data and technology.