Artificial Intelligence (AI) is an attempt to make computers smarter than human beings, by enabling computers to have human-like behaviors, thought processes and reasoning abilities. Artificial Intelligence promises to take the center stage with its diverse applications and sophisticated technology. AI is the broadest way to think about advanced, computer intelligence. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.
Kinds of Artificial Intelligence:
- Narrow / Weak AI – focused on one task only and are all around us. It has beaten us at chess, Jeopardy and digital assistants like Siri, Cortana or self-driving cars among others. However they have limits in terms of scope thus can’t go beyond their original programming. e.g. self-driving car can’t play chess / Siri can’t read and delete your unimportant emails.
- Strong / General AI (AGI) – can outperform humans at every cognitive task. Samantha is the very definition of strong AI, who can learn new things and modify her own code base. She can beat you in chess and drive a car.
Top Myths about Artificial Intelligence:
AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. It’s exciting to consider all the ways our lives may improve, from managing our calendars to making medical diagnoses, but it’s scary to consider the social and personal implications and particularly the implications for our careers. As machine learning continues to grow, we all need to develop new skills in order to differentiate ourselves.
It’s long been known that AI and automation/robotics will change markets and workforce’s. Self-driving cars will force thousands of truck drivers to seek new forms of employment or robotic production lines like Tesla’s will continue to eat away manufacturing jobs. This is just the beginning of the disruption; as AI improves, which is happening quickly, a much broader set of “thinking” rather than “doing” jobs will be affected.
There are just a lot of things that machines can do better than human beings, and we shouldn’t be too proud to admit it. Many skilled jobs follow the same general workflow:
- Gather data
- Analyze the data
- Interpret the results
- Determine course of action
- Implement the course of action
People may say that we will never trust machines with important decisions such as the management of our health and money, however it’s changing as the new generation is engaging with smart machines that they trust, and often prefer.
Skills required to survive the onslaught of AI:
Those that want to stay relevant in their professions will need to focus on skills and capabilities that artificial intelligence has trouble replicating – understanding, motivating, and interacting with human beings.
We shouldn’t be concerned about the exponential change in artificial intelligence or robotics, but about the stagnant response in human intelligence ~ Anders Sorman
- A smart machine can diagnose an illness and even recommend treatment better than a doctor. Still it takes a person however to sit with a patient, understand their life situation (finances, family, quality of life, etc.) and help determine what treatment plan is optimal.
- Similarly a smart machine may be able to diagnose complex business problems and recommend actions to improve an organization. A human being, however is still best suited to for jobs like spurring the leadership team to action, avoiding political hot buttons and identifying savvy individuals to lead change among others.
Skills like persuasion, social understanding, and empathy are going to become differentiators as artificial intelligence and machine learning take over our other tasks. Unfortunately, these human-oriented skills have generally been viewed as second priority in terms of training and education. We’ve all experienced doctors, financial planners, or consultants who are more focused on their reports/data than on required unique situations and desires.
For better or worse, these skills will become essential to anyone who wants to stay relevant in their field as automated systems proliferate.
- Don’t fight the progress of technology. Machine learning and AI have the ability to improve outcomes and lower cost — so don’t fight the robots. Welcome the change in your industry and work to make it fruitful and complementary.
- Examine your own capabilities of interacting, motivating and assessing people. Recognize your strengths and weaknesses when it comes to emotional intelligence.
- Invest in developing your emotional intelligence. The simplest way is to change your mental model about what is important in your role and begin focusing on how you can better manage, influence and relate to others. Will recommend taking a further step by seeking out training and stretch your opportunities.
Begin to nurture and invest in these abilities the same way that you have for the technical skills. If you can be an outstanding motivator, manager or listener, then you will still have a part to play as technology changes your industry.
Five Areas to make AI a success :
Artificial Intelligence is the idea that came first, which blossomed Machine Learning and now its Deep Learning driving today’s AI explosion.
1.Perception: Computer needs five senses to interact with the world and can go beyond five like X-ray vision or Sonar detection, all possible with machines
2. Natural language processing (NLP): Beyond sensing the world, AIs need to interpret spoken and written language. They’ll need to parse sentences and understand their nuances, accents, and meanings. That’s a notoriously hard task given how the same sentence can have different meanings depending on the context.
3. Knowledge representation: With completion of sense to – objects, people, concepts, words, and mathematical symbols – it’ll need a way to represent the world in its own brain.
4. Reasoning: Once it collects data via its senses and connects concepts together, it can use the data to solve problems logically. For example, a chess software senses moves on the board and then works out a game plan.
5. Planning and navigation: To be truly human-like, AI must not only think like humans. It should live among us. So a big concern with researchers is to help AIs navigate the three-dimensional world and plan the optimal route. Autonomous vehicles must do this well, because errors can cost human lives.
Artificial intelligence is not making us dumber but actually striving to make us smarter, more humane and equipped to focus on the problems at hand.
Image Credits : Google, Slideshare
About Sonalli Arora
Sonalli has over 18 years of experience and has worked with organizations like Genpact US, Genpact India, Accenture Services India Pvt. Ltd. & Vertex Services Ltd. Sonalli holds a Master of Commerce, Accounts from Delhi University.