AI is an extremely powerful tool with many applications in environmental and social change. While it's not perfect, AI can be a powerful tool that NGOs have, particularly those who struggle to meet their financial and staffing requirements. To make AI work for social good, NGOs must have guidelines. Below are these guidelines. These are the four most important points that NGOs should consider:
Ethics
While AI for good projects tends to emphasize the goal of solving social problems and empowering peoples, they often ignore human rights and the rights people from the most disadvantaged groups. AI for social purpose can refer to initiatives that solve unsolved social problems. Others may refer to projects that benefit one group without considering the economic implications. 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 is crucial for many different issues. It is possible for an AI system to cause confusion and even damage if its goals are unclear. An AI system that reminds users to take their medications may appear intrusive and could potentially cause harm. But such systems don't appear like human beings and aren't meant to force people into certain actions. Patients have the right to refuse to interact with AI systems.
Diversity
In addition to fostering a culture of inclusion and diversity, AI4SG projects should also include technical contributions from researchers. The most effective AI applications will be inclusive. Google's AI for Social Good initiative aims to achieve this. You can find out more about this program by clicking here. The Oxford Initiative on AIxSDGs is a curated database of AI projects that aim to meet SDGs. It currently indexes around 100 projects. This database should be able to support formal research. The ITU AI Repository is another attempt at a repository. Both have 71 members and support 21 AI4SG projects. Such meta-initiatives can combine the knowledge of AI4SG Projects and connect other organisations.
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 for Trustworthy AI, which has already gained a lot of traction in both research and practice, and have laid the foundation for similar policies to come. Other such guidelines, including the Principles of Socially Beneficial AI published by the White House and OECD, share the same goals.
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 explores the potential of AI in solving societal problems. The course discusses how AI can be applied to different social problems. The course also discusses how AI can aid in fighting blight and improve policing.
Cost
The cost of AI for social good should be considered from the perspective of the SDGs. These goals are interrelated, and achieving them requires a collective effort. AI applications might be good for one SDG but bad for another. AI for social benefit should recognize the interconnectedness between these goals. AI applications should maximize the positive impact on all SDGs and minimize their negative effects.
FAQ
Where did AI originate?
Artificial intelligence began in 1950 when Alan Turing suggested a test for intelligent machines. He suggested that machines would be considered intelligent if they could fool people into believing they were speaking to another human.
John McCarthy later took up the idea and wrote an essay titled "Can Machines Think?" John McCarthy published an essay entitled "Can Machines Think?" in 1956. He described in it the problems that AI researchers face and proposed possible solutions.
Is there any other technology that can compete with AI?
Yes, but not yet. There have been many technologies developed to solve specific problems. None of these technologies can match the speed and accuracy of AI.
How does AI work?
To understand how AI works, you need to know some basic computing principles.
Computers store information in memory. Computers work with code programs to process the information. The code tells the computer what it should do next.
An algorithm is a set or instructions that tells the computer how to accomplish a task. These algorithms are typically written in code.
An algorithm is a recipe. A recipe can include ingredients and steps. Each step might be an instruction. An example: One instruction could say "add water" and another "heat it until boiling."
How does AI work
An artificial neural networks is made up many simple processors called neuron. Each neuron receives inputs from other neurons and processes them using mathematical operations.
Neurons are organized in layers. Each layer serves a different purpose. The first layer receives raw data like sounds, images, etc. It then sends these data to the next layers, which process them further. The last layer finally produces an output.
Each neuron also has a weighting number. This value gets multiplied by new input and then added to the sum weighted of all previous values. If the result is more than zero, the neuron fires. It sends a signal along the line to the next neurons telling them what they should do.
This cycle continues until the network ends, at which point the final results can be produced.
Is Alexa an artificial intelligence?
The answer is yes. But not quite yet.
Alexa is a cloud-based voice service developed by Amazon. It allows users use their voice to interact directly with devices.
First, the Echo smart speaker released Alexa technology. However, similar technologies have been used by other companies to create their own version of Alexa.
Some of these include Google Home, Apple's Siri, and Microsoft's Cortana.
What is the most recent AI invention?
Deep Learning is the latest AI invention. Deep learning is an artificial intelligence technique that uses neural networks (a type of machine learning) to perform tasks such as image recognition, speech recognition, language translation, and natural language processing. Google created it in 2012.
Google's most recent use of deep learning was to create a program that could write its own code. This was achieved using "Google Brain," a neural network that was trained from a large amount of data gleaned from YouTube videos.
This allowed the system's ability to write programs by itself.
In 2015, IBM announced that they had created a computer program capable of creating music. Music creation is also performed using neural networks. These networks are also known as NN-FM (neural networks to music).
AI: Is it good or evil?
AI is seen both positively and negatively. On the positive side, it allows us to do things faster than ever before. There is no need to spend hours creating programs to do things like spreadsheets and word processing. Instead, we ask our computers for these functions.
People fear that AI may replace humans. Many people believe that robots will become more intelligent than their creators. This means they could take over jobs.
Statistics
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- 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)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (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)
- 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)
External Links
How To
How to set up Cortana Daily Briefing
Cortana can be used as a digital assistant in Windows 10. It is designed to help users find answers quickly, keep them informed, and get things done across their devices.
To make your daily life easier, you can set up a daily summary to provide you with relevant information at any moment. You can expect news, weather, stock prices, stock quotes, traffic reports, reminders, among other information. You can choose the information you wish and how often.
Press Win + I to access Cortana. Select Daily briefings under "Settings", then scroll down until it appears as an option to enable/disable the daily briefing feature.
If you have the daily briefing feature enabled, here's how it can be customized:
1. Open Cortana.
2. Scroll down to section "My Day".
3. Click the arrow beside "Customize My Day".
4. You can choose which type of information that you wish to receive every day.
5. You can change the frequency of updates.
6. Add or remove items from the list.
7. You can save the changes.
8. Close the app