AI is a powerful tool which can be used to make a difference in the world of social and environmental change. Although it isn't perfect, it can still be a powerful tool for non-governmental organizations, especially those who have difficulty meeting their staffing or financial needs. To achieve social good using AI, NGOs need guidelines to help them make the most of it. These guidelines are listed below. Here are four points that NGO leaders should be aware of:
Ethics
While AI for social good projects tend to glorify the goal of alleviating societal problems and empowering people, these projects often lack consideration for human rights and the rights of people from disadvantaged groups. Some definitions of AI for social good describe initiatives aimed at solving unsolved societal problems, while others refer to projects that benefit a particular group without consideration for the economic implications of those solutions. These AI projects are often harmful for people from disadvantaged backgrounds and this raises important ethical concerns about how they should viewed.
Transparency
Transparency is essential for a variety of issues. An AI system's goals may not be clear. This can lead to confusion or even harm. For instance, if an AI system is designed to remind users to take medications, this may seem invasive and involve vulnerable users. These systems don't look human and they aren't designed to coerce users to do certain actions. Moreover, patients have the right not to interact with AI systems.
Diversity
AI4SG projects must foster a culture that values diversity and inclusion. They should also include technical contributions by researchers. AI applications that are most effective will be inclusive. Google's AI for Social Good program aims to accomplish this. Click here for more information. The Oxford Initiative on AIxSDGs provides a curated list of AI projects that aim at meeting SDGs. It currently indexes close 100 projects. This should allow for formal research in the field. There are also the ITU AI Repository (and the AI Commons knowledge center). Both have 71 members. They support 21 AI4SG Projects. These meta-initiatives allow for the integration of knowledge from multiple AI4SG projects as well as connecting organisations.
Trustworthiness
Public policy discussions have recently been heavily influenced by concerns regarding the trustworthiness and reliability of AI. The European Commission High-Level Expert Group on Artificial Intelligence(HLEGAI) published its Ethics Guidelines for Trustworthy Artificial Intelligence. This guideline has gained a lot traction both in research and practice. It also laid the groundwork for other similar policies. The White House and OECD also published similar guidelines, the Principles of Socially Beneficial AI.
Collaboration
In recent years, the use of artificial intelligence (AI), for social benefit has become a popular trend. However, the question is how can it be put to good use. AI for social Good is a course that explores the potential use of AI to solve social problems. The course discusses how AI can be applied to different social problems. This course examines the ways that AI can be used to fight blight, improve police work, and train students and individuals.
Cost
It is important to consider the SDGs when assessing the cost of AI in social good. These goals have interdependence, and they require a collective effort. AI applications could be beneficial to one SDG and detrimental to another. AI for social good should consider the interconnectedness and importance of these goals. Applications of AI should maximize the net positive effect on the most SDGs while minimizing their negative impacts.
FAQ
Are there any potential risks with AI?
It is. There always will be. AI could pose a serious threat to society in general, according experts. Others argue that AI can be beneficial, but it is also necessary to improve quality of life.
AI's misuse potential is the greatest concern. The potential for AI to become too powerful could result in dangerous outcomes. This includes autonomous weapons and robot rulers.
AI could also replace jobs. Many fear that robots could replace the workforce. Others believe that artificial intelligence may allow workers to concentrate on other aspects of the job.
Some economists even predict that automation will lead to higher productivity and lower unemployment.
What are some examples of AI applications?
AI can be used in many areas including finance, healthcare and manufacturing. These are just a handful of examples.
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Finance - AI already helps banks detect fraud. AI can spot suspicious activity in transactions that exceed millions.
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Healthcare – AI is used for diagnosing diseases, spotting cancerous cells, as well as recommending treatments.
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Manufacturing - AI can be used in factories to increase efficiency and lower costs.
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Transportation – Self-driving cars were successfully tested in California. They are being tested across the globe.
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Utility companies use AI to monitor energy usage patterns.
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Education - AI is being used for educational purposes. Students can communicate with robots through their smartphones, for instance.
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Government - AI can be used within government to track terrorists, criminals, or missing people.
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Law Enforcement - AI is being used as part of police investigations. Detectives can search databases containing thousands of hours of CCTV footage.
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Defense - AI can both be used offensively and defensively. An AI system can be used to hack into enemy systems. For defense purposes, AI systems can be used for cyber security to protect military bases.
What can AI do for you?
AI has two main uses:
* Prediction - AI systems are capable of predicting future events. AI systems can also be used by self-driving vehicles to detect traffic lights and make sure they stop at red ones.
* Decision making - AI systems can make decisions for us. So, for example, your phone can identify faces and suggest friends calls.
Is Alexa an AI?
The answer is yes. But not quite yet.
Amazon's Alexa voice service is cloud-based. It allows users use their voice to interact directly with devices.
The Echo smart speaker first introduced Alexa's technology. However, similar technologies have been used by other companies to create their own version of Alexa.
These include Google Home and Microsoft's Cortana.
Who is the leader in AI today?
Artificial Intelligence (AI) is an area of computer science that focuses on creating intelligent machines capable of performing tasks normally requiring human intelligence, such as speech recognition, translation, visual perception, natural language processing, reasoning, planning, learning, and decision-making.
There are many kinds of artificial intelligence technology available today. These include machine learning, neural networks and expert systems, genetic algorithms and fuzzy logic. Rule-based systems, case based reasoning, knowledge representation, ontology and ontology engine technologies.
There has been much debate over whether AI can understand human thoughts. But, deep learning and other recent developments have made it possible to create programs capable of performing certain tasks.
Google's DeepMind unit has become one of the most important developers of AI software. Demis Hashibis, the former head at University College London's neuroscience department, established it in 2010. DeepMind invented AlphaGo in 2014. This program was designed to play Go against the top professional players.
From where did AI develop?
Artificial intelligence was created in 1950 by Alan Turing, who suggested a test for intelligent machines. He stated that intelligent machines could trick people into believing they are talking to another person.
The idea was later taken up by John McCarthy, who wrote an essay called "Can Machines Think?" in 1956. He described the problems facing AI researchers in this book and suggested possible solutions.
What are the advantages of AI?
Artificial intelligence is a technology that has the potential to revolutionize how we live our daily lives. It has already revolutionized industries such as finance and healthcare. It is expected to have profound consequences on every aspect of government services and education by 2025.
AI is already being used to solve problems in areas such as medicine, transportation, energy, security, and manufacturing. The possibilities of AI are limitless as new applications become available.
What makes it unique? It learns. Computers are able to learn and retain information without any training, which is a big advantage over humans. Instead of teaching them, they simply observe patterns in the world and then apply those learned skills when needed.
It's this ability to learn quickly that sets AI apart from traditional software. Computers can process millions of pages of text per second. Computers can instantly translate languages and recognize faces.
It doesn't even require humans to complete tasks, which makes AI much more efficient than humans. It can even outperform humans in certain situations.
A chatbot named Eugene Goostman was created by researchers in 2017. Numerous people were fooled by the bot into believing that it was Vladimir Putin.
This shows that AI can be extremely convincing. Another benefit is AI's ability adapt. It can be trained to perform different tasks quickly and efficiently.
This means that companies do not have to spend a lot of money on IT infrastructure or employ large numbers of people.
Statistics
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
External Links
How To
How to get Alexa to talk while charging
Alexa is Amazon's virtual assistant. She can answer your questions, provide information and play music. And it can even hear you while you sleep -- all without having to pick up your phone!
Alexa is your answer to all of your questions. All you have to do is say "Alexa" followed closely by a question. She will give you clear, easy-to-understand responses in real time. Alexa will also learn and improve over time, which means you'll be able to ask new questions and receive different answers every single time.
You can also control connected devices such as lights, thermostats locks, cameras and more.
Alexa can be asked to dim the lights, change the temperature, turn on the music, and even play your favorite song.
Alexa to Call While Charging
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Open the Alexa App and tap the Menu icon (). Tap Settings.
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Tap Advanced settings.
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Select Speech recognition.
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Select Yes, always listen.
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Select Yes, only the wake word
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Select Yes, then use a mic.
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Select No, do not use a mic.
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Step 2. Set Up Your Voice Profile.
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Select a name and describe what you want to say about your voice.
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Step 3. Test Your Setup.
Followed by a command, say "Alexa".
For example: "Alexa, good morning."
If Alexa understands your request, she will reply. Example: "Good morning John Smith!"
Alexa won't respond if she doesn't understand what you're asking.
Make these changes and restart your device if necessary.
Notice: You may have to restart your device if you make changes in the speech recognition language.