AI News, Human Rights in the Fourth Industrial Revolution: Industry's role and ... artificial intelligence

The Fourth Industrial Revolution Moves From Automated To Autonomous

There were few players in the game, making it feel as if artificial intelligence (AI) was contained -- limited to autonomous car prototypes that only operated on closed tracks and inside Watson, the IBM program thatbeat trivia champion Ken Jennings in Jeopardy.

Nest, the thermostat control system, learns customers’ heating and cooling preferences and adjusts their environment accordingly, providing maximum comfort while simultaneously optimizing energy expenses.

AI system Cogito “eavesdrops” on calls made to customer contact centers, evaluates the effectiveness of service representatives and, in real time, coaches humans on how to better interact with callers.

Financial institutions such as MasterCard use AI for fraud detection: The systems compare normal banking behavior across billions of transactions with outlier activitiesand automatically alert both customers and bank officials.

They were able to work faster (because of assembly lines), put in longer hours (because of artificial lighting) and work more efficiently, doing the work of several people (because basic human tasks had been automated).

Now, the focus is less on how humans complete mundane tasks faster and more on completely freeing humans from performing manual or process-oriented tasks.Artificial intelligence’s part in this will be to free workers from large-scale intellectual tasks defined by gathering, analyzing and acting on massive amounts of data.

AIs that specialize in crunching data and offering insights are making workers smarter and able to act faster in scenarios where, in the past, they would have had to do the numbers work first.

For instance, a trucking firm might allow an autonomous AI to make real-time route corrections for its fleet based on fluctuating road conditions, weather and other considerations it’s processing.

The Analogy of AI and the Fourth Industrial Revolution

The video below features a discussion between Dan and Nicolai on the impact of artificial intelligence for the industry and explore the validity of the AI’s stake as the vanguard of the fourth industrial revolution.

(2.30) Daniel Faggella: In recent times, there has been an increased interest in the community about whether AI is as transformational for the human race as the earlier leaps in technology like steam or electricity;

There are a couple of underlying factors for these improved capabilities which has pushed AI technology much closer to an inflection point: With improvements like these, I expect AI technology to be increasingly capable in performing complex tasks, especially in areas like pattern recognition in application with massive data sets.

Thus,in case of massive data sets, AI is good at processing data patterns, although, humans are still better at making distant co-relations with little data.

NW: I can quote an example in the psychology space: currently, around 65 million Americans undergo psychotherapy for about $150 per session on average per year.

AI platforms take in all the conversation data and offers suggestion to Sibly’s mental health coaches and help in consistent profile building over time.

#AAI18 is taking place on April 12, 2018, and will feature presentations from artificial intelligence researchers, executives, and thinkers, including: This year’s agenda focuses on the near-term and long-term impact of AI applications across a variety of industry segments, including:

The Fourth Industrial Revolution Built On Blockchain And Advanced With AI

Blockchain technology is so synonymous with cryptocurrencies, and especially Bitcoin that it is almost like the financial sector has usurped its potential.

Even a third generation is being bandied about, with regards to Directed Acylic Graphs, but the fourth generation - which will be an essential part of the fourth industrial revolution - will need the help of some similar revolutionary technology.

The trifecta: Big data, AI, Blockchain While blockchain and AI have been forging their paths with little overlap in their own past 10 years of existence, there is anclear link between the technologies in the form of data.

At the same time, this importance of data has fuelled blockchain’s advancement as its distributed ledger is a new and novel way for data to be stored in an alternative and effective manner.

With both these technologies able to effect and enact upon data in different ways, their coming together makes sense, and it can take the exploitation of data to new levels.

The offerings of blockchain, such as its security and immutability due to its cryptographic nature, makesit ideal for storing the highly sensitive, personal data which, when smartly processed, can unlock so much value and convenience in our lives.

A look at the way in which blockchains are currently run on standard computers proves this with a lot of processing power needed to perform even basic tasks - such as hashing.

This will help pave the way for more progress in blockchain technology to better mesh with AI, and this progress and applications will inevitably have a spillover effect into other domains, helping boost the rate of blockchain adoption.” Yoav Vilner, the former CEO of startup marketing company Ranky, adds on to Lee’s thoughts about how data will be redistributed in the fourth industrial revolution.

The examples are quite endless, but from de-powering the technology oligarchies, the combinations of these two technologies can also rewire the entire cybersecurity environment, as Karin Flieswasser explains: “When AI and blockchain are put together, they provide a double shield against cyber attacks.

Machine learning algorithms can be trained to automate real-time threat detection and to continuously learn about the behaviour of attackers, thereby thickening the malware detection armour.

Meanwhile, decentralised blockchains dismantle the inherent vulnerability of centralised databases, requiring cyber attackers to challenge not one but several entrance gates.” Coming together Both blockchain and AI are continually coming up with new ways in which to advance our technological lives;

In saying that, the combination of the two as a dual technology to tackle today's problems for the fourth industrial revolution has still got a long way to go, but their intertwining and actioning is moving forward.

The Fourth Industrial Revolution, Robotics, and Artificial Intelligence

Far from heading toward a grim future in which machines decide to turn against human beings, and contrary to all kinds of pessimistic predictions with regards to the mass destruction of jobs, let us look at the consequences that previous industrial revolutions had on humanity as a whole.

Robotics will have a decisive impact on the consumer sector, not only in product development but also in production, storage, and distribution phases.However, to achieve this harmonious future, it will be necessary to maintain a degree of ethical control and responsibility in the development of artificial intelligence and robotics, paying close attention to the advice given by influential persons in the technological world—such as Bill Gates, Stephen Hawking and Elon Musk—who have raised the importance of keeping powerful technology under control to ensure it is not allowed to turn against humankind.

How The Fourth Industrial Revolution Is Impacting The Future of Work

With every industrial revolution comes refining shifts to social, economic, environmental and political systems that truly alter the course of humanity.

Technologies like artificial intelligence (AI), nanotechnology, quantum computing, synthetic biology and robotics will all drastically supersede any digital progress made in the past 60 years and create realities that we previously thought to be unthinkable.

According to McKinsey, up to 375 million workers may need to changetheiroccupational category by 2030, and digital work could contribute $2.7 trillion to global GDP by 2025.

Faced with the scale of the unstoppable shifts in workforce demands, we must address the challenges associated with workforce transformation, starting by taking an in-depth look at its impact on the world of work.

Technological:For most global industries (e.g., logistics, financial, manufacturing, aerospace, etc.), advancements in AI, robotics, 3D printing and the internet of things will put a great deal of pressure on companies to automate in order to remain competitive in a global landscape.

Employers are focusing on the skills required to achieve their business objectives and remain competitive and agile, which requires them to ensure their employees the necessary training to fill these skills gaps.

The Fourth Industrial Revolution will provide us with an opportunity to learn and teach new skills, build new jobs requiring unique skills combinations that don’t exist today, explore talent that we didn’t know about and, in doing so, grow our businesses and create a new generation of workers that are highly skilled in more diverse areas.

governments need to utilize advanced technologies to generate real-time and predictive insights on the labor market in order to develop sound policies, programming and budgets;

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