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For various sectors, economies and societies, the future of AI and automation are getting a mid-game cut scene from the pandemic. Those skills, and so many others like them, have allowed A.I. and automation to radically alter the way we work — and the way we live. This article explores the broad implications of A.I. and automation and looks at trends, challenges and what the new economy might look like.
Overview of AI and Automation
Artificial intelligence Artificial intelligence (AI), is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. There is in these things the knowledge and the thinking and the problem solving, and the choosing. Automation, on the other hand, is the use of technology to make things without human assistance. Combined, AI and automation are expanding the realm of the possible when it comes to the abilities of machines — from self-driving cars to smart virtual assistants.
More of AI, machines, and automation trends in the future
Machine learning (ML) is the heart of AI;
it consists of model-based and data-based reasoning, and learning from data. Helped along by rapid advances in computing power, ML models are now being built that can begin to make the kinds of decisions that used to be solely the purview of humans.
Robotic Process Automation (RPA):
RPA is a technology that leverages AI and machine learning to perform tasks that are repetitive — and otherwise would get done by humans. In industries like banking, insurance and health care, it is upending traditional company structures, processes and operations by enabling algorithms to make cheaper, faster and more consistent decisions than human workers do.
Natural Language Processing (NLP):
Adiscipline within the AI space, NLP enables computers to read and comprehend human language. This development launched chatbots, virtual assistants, and the automation of customer service, which allow human-machine interaction to take place more effectively and naturally.
AI-Augmented Robotics:
Robots with AI are already replacing humans at hazardous and monotonous tasks, from the factory floor to the warehouse. In other words, these robots won’t just fulfill narrow duties — they will do actual jobs, and learning to do them differently when the unexpected happens around them.
Impact on Various Industries
HealthCare AI will disrupt healthcare with accuracy diagnosis, personalized treatment and even more sinister level of patient personalization. These days, machine learning algorithms can predict disease from medical images, read the minds of poker opponents, drive cars, draw pictures, peruse recommendations of what to watch tonight — and, if the art world hasn’t already killed itself, can generate art — and in parallel to a few drug discovery, recommendation algorithms, and some robot assisted surgery — can at least outperform humans faster (and in most cases, better) than humans in an increasing number of such demonstrations.
Transportation:
Riding in in self-driving cars, drones and artificial intelligence as brains behind the traffic systems is hardly pie-in-the-sky. And by AI’s predicting traffc, then optimizing routes, we also help save the environment, we save travel time and fuel.
Retail:
AI and automation are changing retail by reducing supply chain friction, forecasting consumer preferences, and delivering personalized shopping experiences. Completely automated checkouts and AI for inventory management: The store of the future is automated AF.
Manufacturing:
The application of AI in manufacturing has led to the creation of “smart factories,” in which machines are connected and can communicate with each other, thereby providing the intelligence that production lines need. This results in reliable operation, low downtime and good quality output.
The Workforce of Tomorrow
It’s no secret we’re living in a world of AI and automation and what it will mean for jobs. On the other, A.I. and robotics that — at least for jobs that are repetitive or routine. On the other hand, they will create completely new roles, in AI development, in data analyzing and in robotics engineering.”
Displacement of Jobs:
Some work, like assembly line or contact center work, is vulnerable to being replaced by automation. But that transformation isn’t going to be easy, or rapid. It will require a commingling symphony of action from governments, businesses and schools to retrain workers and teach students the skills they’ll need to survive, and even thrive, in an increasingly automated world.
Job Growth:
Jobs in AI, machine learning, data science and robotics are growing. Not only are they creative, innovative, they are technologically literate. That’s helped create jobs that didn’t exist even a decade ago.
Ethical Considerations and Challenges
Perhaps the following ethical questions and considerations are something to think about, especially when considering how fast automation and AI technology have been evolving:Bias and Fairness An AI system can easily take on the biases that exist within the data it was trained on and end up producing unfair or biased results. Transparency and accountability are only a beginning; for AI to be deployed responsibly its systems must also be fair and free of bias.
Privacy and Security:
The mass gathering of individual personal data by AI driven systems has posed privacy and data security issues. Tight regulations and clear handling of data are necessary elements for maintaining the privacy of the people.
Autonomy and Control:
AI will become increasingly autonomous, and we need to build instruments that might permit human control. Because they’re just too risky given the potential of bad-acting AI, intentionally or otherwise, and the degree of downside risk this risk entails.
Opportunities for Innovation and Growth
The promise of AI and automation is full of awesome possibilities. Quantum computing, A.I. driven creative tools, autonomy and other such manifolds of technology will create an expansion and opportunity for a new frontier. So A.I. will be one solution to some of the biggest problems that humanity has confronted, to climate change, to access to health care, to education.
What AI Has in Store for Sustainability:
AI could potentially help address some environmental challenges like energy waste, waste, and even climate models. Agribusiness automation could also be more sustainable if food production becomes more secure and ecologically sound.
How AI can assist us in the education field AI based personalised learning : — — — — By employing AI (Artificial Intelligence), we can have a customised education which transform the education system as that of an one in which the education can be shaped according to the need of the students. It means a better learning experience and the ability to break down barriers to education around the world.
The Road Ahead
AI and automation promise so much to the world of tomorrow, however as ever the devil will be in the detail of how we manage the disruption that goes with that change. Governed well with the right policies, regulations and investment in education and training, AI and automation might usher in a more productive, sustainable (and, therefore, innovative) future.As these capabilities evolve, society must engage in discussions of how they will shape our lives in ethical, economic and equitable terms. What it’s really about is how we best figure out a way to handle these changes, thoughtfully and collectively.
19 Misha:
Soit’s not a question at the end of the day of machines taking over for us and taking over some of the things that we do but machines that compound what we can do, and they make us and they lead us to imagining the world beyond ourselves. 210 211 Stay tuned for a bold new world filled with Booby Traps and Secret Gadgetry: where booby traps lie in every nook and cranny, everything is Fake, and nothing is Real!