Issa Ibrahim - Artificial Intelligence enhances the speed, precision and effectiveness of human efforts. In financial institutions, AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, as well as automate manually intense data management tasks.

Malak- If AI algorithms are built with a bias or the data in the training sets they are given to learn from is biassed, they will produce results that are biassed. With automation, nefarious acts such as phishing, delivery of viruses to software and taking advantage of AI systems because of the way they see the world, might be difficult for humans to uncover until there is a real quagmire to deal with. Similarly, there may be new AI-enabled form of terrorism to deal with: From the expansion of autonomous drones and the introduction of robotic swarms to remote attacks or the delivery of disease through nanorobots.

.Mohammed eyad-Unemployment:
As AI is replacing the majority of the repetitive tasks and other works with robots,human interference is becoming less which will cause a major problem in the employment standards. Every organization is looking to replace the minimum qualified individuals with AI robots which can do similar work with more efficiency.

Jood - Since AI algorithms are built by humans, they can have built-in bias by those who either intentionally or inadvertently introduce them into the algorithm. If AI algorithms are built with a bias or the data in the training sets they are given to learn from is biassed, they will produce results that are biassed. Not only that but they have High Costs of Creation, and cause Unemployment. AI applications that are in physical contact with humans or integrated into the human body could pose safety risks as they may be poorly designed, misused or hacked. Poorly regulated use of AI in weapons could lead to loss of human control over dangerous weapons.

AI applications that are in physical contact with humans or integrated into the human body could pose safety risks as they may be poorly designed, misused or hacked. Poorly regulated use of AI in weapons could lead to loss of human control over dangerous weapons.

Disadvantages : AI Bias. Since AI algorithms are built by humans, they can have built-in bias by those who either intentionally or inadvertently introduce them into the algorithm - Loss of Certain Jobs - A shift in Human Experience - AI Terrorism.
Abdulla Mukhtar

Samar: 1)Its very expensive 2)It makes humans lazy 3)High rise of unemployment 4)People will lack thinking out of the box 5)No emotions.

abdulrahman-Since AI algorithms are built by humans, they can have built-in bias by those who either intentionally or inadvertently introduce them into the algorithm. If AI algorithms are built with a bias or the data in the training sets they are given to learn from is biassed, they will produce results that are biassed.

The AI is programmed to do something devastating: Autonomous weapons are artificial intelligence systems that are programmed to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties.- aldana

layal=
“Unless we learn how to prepare for, and avoid, the potential
risks,”
“AI could be the worst event in the history of our civilization.”

Job automation is generally viewed as the most immediate concern. It’s no longer a matter of if AI will replace certain types of jobs, but to what degree. In many industries — particularly but not exclusively those whose workers perform predictable and repetitive tasks — disruption is well underway. According to a 2019 Brookings Institution study, 36 million people work in jobs with “high exposure” to automation, meaning that before long at least 70 percent of their tasks — ranging from retail sales and market analysis to hospitality and warehouse labor — will be done using AI

The AI is programmed to do something devastating, Autonomous weapons are artificial intelligence systems that are programmed to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties. To avoid being thwarted by the enemy, these weapons would be designed to be extremely difficult to simply “turn off,” so humans could plausibly lose control of such a situation. This risk is one that’s present even with narrow AI, but grows as levels of AI intelligence and autonomy increase.

Fatima Fadhel

The AI is programmed to do something devastating: Autonomous weapons are artificial intelligence systems that are programmed to kill. In the hands of the wrong person, these weapons could easily cause mass casualties. Moreover, an AI arms race could inadvertently lead to an AI war that also results in mass casualties.- fatima maher

You only see the input and the output. The system is far too complex. Nevertheless, where military or medical decisions are involved, it is important to be able to trace back the specific data that resulted in specific decisions. What underlying thought or reasoning resulted in the output? What data was used to train the model? How does the model ‘think’? We are currently generally in the dark about this.

Reem - Artificial intelligence is insanely dangerous and has a lot of side effects for people who have nothing to do with it like: 1- AI would be really expensive for everyday use. 2- AI would make people so lazy and act like "oh I have an AI I dont need to work". 3- AI would increase unemployment

A great deal is still unclear about the legal aspects of systems that become increasingly smart. What is the situation in terms of liability when the AI system makes an error? Do we judge this like we would judge a human? Who is responsible in a scenario in which systems become self-learning and autonomous to a greater extent? Can a company still be held accountable for an algorithm that has learned by itself and subsequently determines its own course, and which, based on massive amounts of data, has drawn its own conclusions in order to reach specific decisions? Do we accept an error margin of AI machines, even if this sometimes has fatal consequences?

AI will create pressure on the labour market in the years ahead. The rapid increase in the quality of artificial intelligence will ensure smart systems become far more adept at specific tasks. The recognition of patterns in vast amounts of data, the provision of specific insights and the performance of cognitive tasks will be taken over by smart AI systems. Professionals should closely monitor the development of artificial intelligence because systems are increasingly able to look, listen, speak, analyse, read and create content.

There are therefore certainly people with jobs in the danger zone who will quickly have to adapt. However, the vast majority of the population will work with artificial intelligence systems. And remember: many more new jobs will be created, although it is more difficult to conceive of them than the jobs that get lost. Social inequality will increase in the years ahead as a result of the divide between the haves and the have-nots. I believe we as a society will have to look after the have-nots – the people who are only able to perform routine-based manual work or brainwork. We should remember that a job is more than just the salary at the end of the month. It offers a daytime pursuit, a purpose, an identity, status and a role in society. What we want to prevent is that a group of people emerge in our society who are paid and treated as robots.

In short, it is becoming increasingly important for professionals to adapt to the rapidly changing work environment. Moore’s law ensures there will be an ever greater distance between humans and machines.

Smart systems are becoming increasingly capable of creating content – they can create faces, compose texts, produce tweets, manipulate images, clone voices and engage in smart advertising.

AI systems can turn winter into summer and day into night. They are able to create highly realistic faces of people who have never existed.

Open source software Deepfake is able to stick pictures of faces on moving video footage. This therefore makes it seem on video as though you are doing something (which is not true and has not actually happened). (read my report on deepfakes here (Dutch)). Celebrities are already being affected by this because those with malicious intent can easily create pornographic videos starring these celebrities. Once this technology becomes slightly more user-friendly, it will be child’s play to blackmail an arbitrary individual. You could take a photo of anyone and make it into rancid porn. One e-mail would then be enough: “Dear XYZ, in the attached video file you play the starring role. In addition, I have downloaded the names and data of all your 1,421 LinkedIn connections and I would be able to mail them this file. Transfer 5 bitcoins to the address below if you want to prevent this.” This is known as Faceswap video blackmailing.

We lose more and more human skills due to the use of computers and smartphones. Is that a pity? Sometimes it is and sometimes not. Smart software makes our lives easier and results in a reduction in the number of boring tasks we have to perform – examples include navigating, writing by hand, mental arithmetic, remembering telephone numbers, being able to forecast rain by looking at the sky, et cetera. Not immediately of crucial importance. We are losing skills in daily life and leaving them to technology. This has been going on for centuries. Almost nobody knows how to make fire by hand anymore, for example. In my view, it is important to wonder the following: aren’t we becoming excessively dependent on new technology in this scenario? How helpless do we want to be in the absence of digital technology surrounding us?

And, not unimportantly: given smart computer systems will increasingly understand who we are, what we do and why we do it and will offer us a customised service: isn’t it an important human skill to tolerate frustration? To be patient? Or to settle for slightly less than ‘hyperpersonalised’?

In our work, we are increasingly assisted by smart computer systems that can read emotions and the state of mind of third parties – this is already the case in customer service, for example, while experiments are being conducted in American supermarkets. To what extent are we losing the skill to make these observations ourselves and to train our antennas? Will we ultimately become less adept at reading our fellow human being in a physical conversation?

This is already the case to an extent, of course, because we increasingly use our smartphone in our communications. Has this made us less good at reading our conversation partner in a face-to-face conversation? In short, which of our skills, both in a practical and emotional sense, do we want to leave to smart computer systems? Are attention, intimacy, love, concentration, tolerance of frustration and empathy aspects of our lives which we are willing to have taken over by technology to an ever greater extent?…