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Artificial Intelligence | The Seattle Times

There is lots of talk about Artificial Intellenege in IT industry. Needless to say, it is going to be a big advancement in the technology field.

As like every other growing technology, plenty of statements is going around about AI ethics.

Is it good or bad?

What are the pros and cons of Artificial Intelligence?

There are lots of myths about artificial intelligence. Before getting into it, here is Artifical Intelligence, I can define it in a simple way

Artificial intelligence (AI) is described as the intelligence of machines. Its all about creating machines that have the ability to think like humans and as the technology is advancing with time, researchers and scientists are aiming to introduce an emotional characteristic as well into these machines.

With the growing technological advancements, it looks like artificial intelligence would definitely be the next big thing of this era.

Ever thought how would this affect human life?

Go through the following points to know what advantages and disadvantages artificial intelligence can bring with it.

AI comes with advantages and disadvantages. Lets look at them one-by-one.

Here are the advantages of using Artificial Intelligence (AI).

Unlike humans, robots and machines do not have to get paid every month for the work they do.

Although machines are pretty much expensive to maintain, the maintenance cost is very small as compared to the expenses that an organization bears for its employees.

Hence, it helps to reduce and to control the cost by using artificial intelligence.

Artificial intelligence provides work efficiency.

Since manpower would be replaced by machines, work would be performed in a more efficient manner, depending on the type of intelligence.

If machines would be built without any flaw, no doubt they would be able to perform even the most complex tasks without any error.

One of the top benefits of using artificial intelligence in the workplace is that machines and robots can perform lengthy and important tasks in a more effective manner.

Even the machine doesnt need to take a break to accomplish a big task. Unlike humans, machines dont need to rest or take a break.

They dont need to eat or sleep like us and never fell ill or take leaves.

They only need to be recharged or refueled by an energy source to reach their full potential.

Ultimately, this enables the companies to boost their productivity by working 24 hours.

Artificial intelligence has many benefits to the human. By automating a simple task, we can save a lot of time.

Since machines dont have emotions, there are no chances of any emotional barriers getting in the way of the workplace.

This is a great advantage because having no emotions means that nothing is going to affect their performance.

However, this is completely different in the case of humans because we have emotions and many of us find it hard to work in a stressful environment.

These are all advantages of AI. It is not easy to see future programming prediction. So its time that will tell us more about it.

Now lets see what are the disadvantages of Artifical Intelligence.

Here are the disadvantages of Artifical Intelligence (AI).

There is no doubt that machines are much better when it comes to working efficiency but they cannot replace the human connection that makes the team. Machines cannot develop a bond with humans.

With more and more machines being designed, there will be an abrupt increase in unemployment and job security. Since machines are replacing human resources, the rate of people losing their jobs will increase.

Needless to say, humans will be no longer a priority for companies.

The only way to empower yourself in the IT industry is by improving your technical skills and by finding trends for future jobs requirement.

If you are aprogrammer, you should always keep analyzing the programming job requirement in the future.

Living in the 21st century, weve seen and even experienced it once or more than once in our lives that our important information gets missing due to technical issues such as machine damages or the software of our system getting corrupt.

We use computers, smartphones and other devices to store almost all our important documents, files, pictures, and videos. Once lost, it is not possible (or very difficult) to retrieve this information.

This can cause serious trouble for your businesses.

Misuse or exploitation of anything is bad.

In the case of artificial intelligence, its worse.

We often hear threats that the misuse of technology can bring the world to a destructive end. This stands true to a great extent as we have seen in animated movies and films.

If AI is given into wrong hands, high technology machines can definitely destroy society.

Wrapping Up My Thoughts on Artificial Intelligence Growth

Despite all the pros and cons Of Artificial Intelligence, Industries are adopting Artificial Intelligence to do the work more efficiently and with less cost. So as the way Big data is becoming a future trend, Artificial Intelligence is too.

We saw the advantages and disadvantages of artificial intelligence. Today machines possess almost human-like abilities and artificial is a perfect example of this fact.

As per derived knowledge, the outcomes in artificial intelligence are getting better rapidly.

Therefore, it is best to accept the changes in the world we live and take benefit from all the amazing features that artificial intelligence has to offer to us.

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8 Pros And Cons Of Artificial Intelligence | You Must Be ...

Artificial intelligence is defined as a study of rational agents. A rational agent could be anything which makes decisions, as a person, firm, machine, or software. It carries out an action with the best outcome after considering past and current percepts(agents perceptual inputs at a given instance).An AI system is composed of an agent and its environment. The agents act in their environment. The environment may contain other agents. An agent is anything that can be viewed as :

Note : Every agent can perceive its own actions (but not always the effects)To understand the structure of Intelligent Agents, we should be familiar with Architecture and Agent Program. Architecture is the machinery that the agent executes on. It is a device with sensors and actuators, for example : a robotic car, a camera, a PC. Agent program is an implementation of an agent function. An agent function is a map from the percept sequence(history of all that an agent has perceived till date) to an action.

Agent = Architecture + Agent Program

Examples of Agent:-A software agent has Keystrokes, file contents, received network packages which act as sensors and displays on the screen, files, sent network packets acting as actuators.A Human agent has eyes, ears, and other organs which act as sensors and hands, legs, mouth, and other body parts acting as actuators.A Robotic agent has Cameras and infrared range finders which act as sensors and various motors acting as actuators.

Agents can be grouped into four classes based on their degree of perceived intelligence and capability :

Simple reflex agents ignore the rest of the percept history and act only on the basis of the current percept. Percept history is the history of all that an agent has perceived till date. The agent function is based on the condition-action rule. A condition-action rule is a rule that maps a state i.e, condition to an action. If the condition is true, then the action is taken, else not. This agent function only succeeds when the environment is fully observable. For simple reflex agents operating in partially observable environments, infinite loops are often unavoidable. It may be possible to escape from infinite loops if the agent can randomize its actions. Problems with Simple reflex agents are :

It works by finding a rule whose condition matches the current situation. A model-based agent can handle partially observable environments by use of model about the world. The agent has to keep track of internal state which is adjusted by each percept and that depends on the percept history. The current state is stored inside the agent which maintains some kind of structure describing the part of the world which cannot be seen. Updating the state requires information about :

These kind of agents take decision based on how far they are currently from their goal(description of desirable situations). Their every action is intended to reduce its distance from the goal. This allows the agent a way to choose among multiple possibilities, selecting the one which reaches a goal state. The knowledge that supports its decisions is represented explicitly and can be modified, which makes these agents more flexible. They usually require search and planning. The goal-based agents behavior can easily be changed.

The agents which are developed having their end uses as building blocks are called utility based agents. When there are multiple possible alternatives, then to decide which one is best, utility-based agents are used.They choose actions based on a preference (utility) for each state. Sometimes achieving the desired goal is not enough. We may look for a quicker, safer, cheaper trip to reach a destination. Agent happiness should be taken into consideration. Utility describes how happy the agent is. Because of the uncertainty in the world, a utility agent chooses the action that maximizes the expected utility. A utility function maps a state onto a real number which describes the associated degree of happiness.

Learning Agent

A learning agent in AI is the type of agent which can learn from its past experiences or it has learning capabilities.It starts to act with basic knowledge and then able to act and adapt automatically through learning.A learning agent has mainly four conceptual components, which are:

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Agents in Artificial Intelligence - GeeksforGeeks

The Government Digital Service (GDS) and the Office for Artificial Intelligence (OAI) have published joint guidance on how to build and use artificial intelligence (AI) in the public sector.

This guidance covers how:

OAI, GDS, and The Alan Turing Institute (ATI) have partnered to produce guidance on how to use AI ethically and safely.

Email ai-guide@digital.cabinet-office.gov.uk if you:

want to talk about using AI in the public sector

have any feedback on the AI guidance

would like to share an AI case study with us

Every day, artificial intelligence (AI) is changing how we experience the world. We already use AI to find the fastest route home, alert us of suspicious activity in our bank accounts and filter out spam emails.

The UK government recognises the importance of this technologys development to both business and the public sector. Indeed, Artificial Intelligence and Data was named as one of the four Grand Challenges in the Industrial Strategy White Paper, which are global trends that will transform our future and contribute to the governments long-term plan to boost productivity in the UK.

PwC estimates that AI could contribute $15.7tr to the global economy by 2030. The UK is in the top three countries globally in the development of AI technologies and this strength puts us in a prime position to unlock this projected global growth. The same estimates indicate AI could increase our productivity by 14.3% and grow our GDP up to 10.3% by 2030.

There are huge opportunities for government to capitalise on this exciting new technology to improve lives. We can deliver more for less, and give a better experience as we do so.

For citizens, the application of AI technologies will result in a more personalised and efficient experience. For people working in the public sector it means a reduction in the hours they spend on basic tasks, which will give them more time to spend on innovative ways to improve services.

When government and citizens benefit, so does the economy. This year, the UK government ranked second globally in terms of AI readiness, and as the country most prepared within Western Europe to realise the benefits of AI in delivering public services. Putting this readiness into practice and procuring innovative solutions from the UKs thriving tech sector will, in turn, benefit our economy and grow new and innovative markets across sectors.

We want the public sector to understand AI and embrace the opportunities here. As part of this work, a review into using AI in the public sector, led by the Government Digital Service and the Office for Artificial Intelligence (a joint DCMS / BEIS unit), was undertaken between November 2018 and April 2019. Its purpose was to show us where AI could have the most impact and where investment could yield the greatest benefit.

The findings of the review, published as part of the Government Technology Innovation Strategy, revealed that leaders across the public sector could benefit from better understanding the technology, the opportunities it presents and the limitations of its use.

It also found that delivery teams needed more specific guidance on the different considerations for projects with AI components.

This guide was produced to meet this need, drawing on best practice from the commercial sector and public sector.

We also need to practice what we preach and make sure the public sector is leading from the front in the safe and ethical deployment of AI and other emerging technologies. To reflect this, we have worked with the Alan Turing Institute, the UKs national institute for artificial intelligence, to produce additional guidance on AI ethics and safety in a public sector context.

Maximising the benefits of AI is a priority for government, and this guide is an important step forward towards reaching that goal. We encourage you to put this guidance into practice.

Minister of State for Digital and the Creative Industries, Margot James MP

Minister of State for Universities, Science, Research and Innovation, Chris Skidmore MP

Parliamentary Secretary and Minister for Implementation, Oliver Dowden CBE MP

Read this article:
A guide to using artificial intelligence in the public ...

Discussions, articles, and reports about the AI opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next research seen by Business Insider Intelligence.

Most banks (80%) are highly aware of the potential benefits presented by AI, per an OpenText survey of financial services professionals. In fact, many banks are planning to deploy solutions enabled by AI: 75% of respondents at banks with over $100 billion in assets say they're currently implementing AI strategies, compared with 46% at banks with less than $100 billion in assets, per a UBS Evidence Lab report seen by Business Insider Intelligence. Certain AI use cases have already gained prominence across banks' operations, with chatbots in the front office and anti-payments fraud in the middle office the most mature.

Banks can use AI to transform the customer experience by enabling frictionless, 24/7 customer interactions but AI in banking applications isn't just limited to retail banking services. The back and middle offices of investment banking and all other financial services for that matter could also benefit from AI.

The three main channels where banks can use artificial intelligence to save on costs are front office (conversational banking), middle office (anti-fraud) and back office (underwriting).

In this report, Business Insider Intelligence identifies the most meaningful AI applications across banks' front and middle offices. We also discuss the winning AI strategies used by financial institutions so far, and provide recommendations for how banks can best approach an AI-enabled digital transformation.

The companies mentioned in this report are: Capital One, Citi, HSBC, JPMorgan Chase, Personetics, Quantexa, and U.S. Bank

Here are some of the key takeaways from the report:

In full, the report:

Interested in getting the full report? Here's how to get access:

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Artificial Intelligence in Banking 2020: How Banks Use AI ...