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Four Guidelines to Help Non-Governments Achieve AI For Social Good

By Andrew Michaels 28 March, 2023 3 mins read

AI is a powerful tool with many potential applications in social or environmental change. It is not perfect but it can be a powerful tool to NGOs, especially those who are struggling to pay their staff or financial expenses. To make AI a positive tool for social good, NGOs need to have guidelines. These guidelines are listed below. Here are four important points for NGOs to consider:

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. AI for Social Good can be used to describe projects that are aimed at solving unsolved social problems. Other definitions refer to projects which benefit a particular group but do not consider the economic consequences. These AI projects often cause harm to those from disadvantaged groups. This raises important ethical issues about how these AI projects should be viewed.

Transparency

Transparency can be important for many issues. An AI system's goals may not be clear. This can lead to confusion or even harm. This could be the case if an AI system reminds users to take medication. It can seem intrusive and potentially involve vulnerable users. However, such systems do not look like human beings, and they are not meant to coerce people to take certain actions. Moreover, patients have the right not to interact with AI systems.

Diversity

AI4SG projects should not only foster inclusion but also encourage diversity. AI applications that are most effective will be inclusive. This is what Google hopes to achieve with its AI for Social Good program. Click here to learn more about the program. The Oxford Initiative on AIxSDGs provides a curated list of AI projects that aim at meeting SDGs. It indexes more than 100 projects and is expected to support formal research in this field. Other efforts at a repository include the ITU AI Repository as well as the AI Commons knowledge centre. Each has 71 members and supports 21 AI4SG project. These meta-initiatives are able to connect and aggregate the knowledge of different AI4SG projects.

Trustworthiness

Recent public policy discussions have focused heavily on concerns about AI's trustworthiness. The European Commission High-Level Expert Group on Artificial Intelligence HLEG AI released its Ethics Guidelines to Trustworthy AI. They have already received a lot of traction from both research and practice. These guidelines are similar to the Principles of Socially Beneficial AI, published by the White House as well as the OECD.

Collaboration

In the last few decades, artificial intelligence (AI), has become a popular trend. The question now is how do you use it for good? AI for social Good is a course that explores the potential use of AI to solve social problems. The course introduces the different AI techniques that can be applied to a variety of social issues. This course examines how AI may be used to combat blight, improve policing and train individuals as well as students.

Cost

The cost of AI for social good should be considered from the perspective of the SDGs. These goals have interdependence, and they require a collective effort. AI applications might be good for one SDG but bad for another. AI for social purposes should therefore be guided by the interconnectedness among these goals. Applications of AI should maximize the net positive effect on the most SDGs while minimizing their negative impacts.

FAQ

What is AI used today?

Artificial intelligence (AI), is a broad term that covers machine learning, natural language processing and expert systems. It is also known as smart devices.

Alan Turing wrote the first computer programs in 1950. He was intrigued by whether computers could actually think. In his paper "Computing Machinery and Intelligence," he proposed a test for artificial intelligence. The test tests whether a computer program can have a conversation with an actual human.

John McCarthy, in 1956, introduced artificial intelligence. In his article "Artificial Intelligence", he coined the expression "artificial Intelligence".

There are many AI-based technologies available today. Some are simple and straightforward, while others require more effort. They can be voice recognition software or self-driving car.

There are two main types of AI: rule-based AI and statistical AI. Rule-based AI uses logic to make decisions. For example, a bank account balance would be calculated using rules like If there is $10 or more, withdraw $5; otherwise, deposit $1. Statistics are used to make decisions. To predict what might happen next, a weather forecast might examine historical data.

Which industries use AI the most?

The automotive industry is one of the earliest adopters AI. BMW AG uses AI for diagnosing car problems, Ford Motor Company uses AI for self-driving vehicles, and General Motors uses AI in order to power its autonomous vehicle fleet.

Other AI industries include banking and insurance, healthcare, retail, telecommunications and transportation, as well as utilities.

Which are some examples for AI applications?

AI can be used in many areas including finance, healthcare and manufacturing. Here are just a few examples:

Finance - AI already helps banks detect fraud. AI can scan millions upon millions of transactions per day to flag suspicious activity.
Healthcare – AI is used for diagnosing diseases, spotting cancerous cells, as well as recommending treatments.
Manufacturing - AI in factories is used to increase efficiency, and decrease costs.
Transportation – Self-driving cars were successfully tested in California. They are currently being tested all over the world.
Utilities can use AI to monitor electricity usage patterns.
Education - AI has been used for educational purposes. Students can use their smartphones to interact with robots.
Government – AI is being used in government to help track terrorists, criminals and missing persons.
Law Enforcement - AI is being used as part of police investigations. Detectives can search databases containing thousands of hours of CCTV footage.
Defense - AI can both be used offensively and defensively. It is possible to hack into enemy computers using AI systems. Artificial intelligence can also be used defensively to protect military bases from cyberattacks.

Which countries are leaders in the AI market today, and why?

China has the largest global Artificial Intelligence Market with more that $2 billion in revenue. China's AI industry is led Baidu, Alibaba Group Holding Ltd. Tencent Holdings Ltd. Huawei Technologies Co. Ltd., Xiaomi Technology Inc.

The Chinese government has invested heavily in AI development. Many research centers have been set up by the Chinese government to improve AI capabilities. These centers include the National Laboratory of Pattern Recognition and the State Key Lab of Virtual Reality Technology and Systems.

Some of the largest companies in China include Baidu, Tencent and Tencent. All these companies are actively working on developing their own AI solutions.

India is another country making progress in the field of AI and related technologies. The government of India is currently focusing on the development of an AI ecosystem.

Is there any other technology that can compete with AI?

Yes, but not yet. Many technologies have been developed to solve specific problems. However, none of them match AI's speed and accuracy.

Statistics

In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
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)

How To

How to Set Up Siri To Talk When Charging

Siri can do many things. But she cannot talk back to you. This is due to the fact that your iPhone does NOT have a microphone. Bluetooth is the best method to get Siri to reply to you.

Here's how Siri will speak to you when you charge your phone.

Select "Speak When Locked" under "When Using Assistive Touch."
To activate Siri, press the home button twice.
Ask Siri to Speak.
Say, "Hey Siri."
Say "OK."
You can say, "Tell us something interesting!"
Speak out, "I'm bored," Play some music, "Call my friend," Remind me about ""Take a photograph," Set a timer," Check out," and so forth.
Say "Done."
If you'd like to thank her, please say "Thanks."
If you are using an iPhone X/XS, remove the battery cover.
Reinstall the battery.
Connect the iPhone to your computer.
Connect the iPhone with iTunes
Sync the iPhone
Enable "Use Toggle the switch to On.