AI is a powerful tool with many potential applications in social or environmental change. Even though it is not perfect, AI can be an effective tool for NGOs, especially those with limited resources or staffing. To use AI to achieve social change, NGOs will need guidelines. Below are these guidelines. Here are four important points for NGOs to 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 good can refer to programs that aim at solving social problems. Others are projects that benefit a group of people without taking into account the economic consequences. These AI projects can often be harmful to people from disadvantaged communities and raises important ethical questions about how they should be viewed.
Transparency
Transparency can be important for many issues. Unclarity in the AI system's goals can cause confusion, and even harm. For example, an AI system designed to remind users of their medication may seem intrusive. This could make it more vulnerable. But such systems don't appear like human beings and aren't meant to force people into certain actions. AI systems can be disabled by patients.
Diversity
AI4SG projects must foster a culture that values diversity and inclusion. They should also include technical contributions by researchers. AI applications that work well will include all. Google's AI for Social Good Program aims at this. To learn more about this program, click here. The Oxford Initiative on AIxSDGs curated database contains AI projects that strive to achieve the SDGs. It indexes more than 100 projects and is expected to support formal research in this field. The ITU AI Repository, and the AI Commons Knowledge Hub are other attempts to create a repository. Each of these have 71 members who support 21 AI4SG programs. These meta-initiatives allow for the integration of knowledge from multiple AI4SG projects as well as connecting organisations.
Trustworthiness
Recently, concerns about the trustworthiness of AI have gained much prominence in public policy discussions. 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. The White House and OECD also published similar guidelines, the Principles of Socially Beneficial AI.
Collaboration
The use of artificial intelligence (AI) for social good has become a trend in the last few years, but the question is how to put it to good use? AI for Social Good explores the potential of AI in solving societal problems. The course introduces the different AI techniques that can be applied to a variety of social issues. It also examines how AI can help fight blight, improve policing, and train individuals and students.
Cost
Consider the SDGs as a lens to assess the social benefits of AI. These goals have interdependence, and they require a collective effort. AI applications may benefit one SDG but harm 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
Which countries are currently leading the AI market, and why?
China has more than $2B in annual revenue for Artificial Intelligence in 2018, and is leading the market. China's AI industry includes Baidu and Tencent Holdings Ltd. Tencent Holdings Ltd., Baidu Group Holding Ltd., Baidu Technology Inc., Huawei Technologies Co. Ltd. & Huawei Technologies Inc.
China's government is heavily investing in the development of AI. 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 State Key Lab of Virtual Reality Technology and Systems.
China is also home of some of China's largest companies, such as Baidu (Alibaba, Tencent), and Xiaomi. All these companies are active in developing their own AI strategies.
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.
Who created AI?
Alan Turing
Turing was first born in 1912. His father was a clergyman, and his mother was a nurse. At school, he excelled at mathematics but became depressed after being rejected by Cambridge University. He learned chess after being rejected by Cambridge University. He won numerous tournaments. After World War II, he was employed at Bletchley Park in Britain, where he cracked German codes.
He died in 1954.
John McCarthy
McCarthy was born in 1928. McCarthy studied math at Princeton University before joining MIT. He created the LISP programming system. By 1957 he had created the foundations of modern AI.
He passed away in 2011.
What uses is AI today?
Artificial intelligence (AI), a general term, refers to machine learning, natural languages processing, robots, neural networks and expert systems. It's also called smart machines.
Alan Turing wrote the first computer programs in 1950. He was fascinated by computers being able to think. He presented a test of artificial intelligence in his paper "Computing Machinery and Intelligence." This test examines whether a computer can converse with a person using a computer program.
John McCarthy, in 1956, introduced artificial intelligence. In his article "Artificial Intelligence", he coined the expression "artificial Intelligence".
We have many AI-based technology options today. Some are simple and easy to use, while others are much harder to implement. 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 relies on logic to make decision. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistical uses statistics to make decisions. A weather forecast might use historical data to predict the future.
What can AI do?
AI has two main uses:
* Prediction - AI systems can predict future events. AI can help a self-driving automobile identify traffic lights so it can stop at the red ones.
* Decision making – AI systems can make decisions on our behalf. For example, your phone can recognize faces and suggest friends call.
How does AI work?
Understanding the basics of computing is essential to understand how AI works.
Computers keep information in memory. Computers interpret coded programs to process information. The code tells a computer what to do next.
An algorithm is a sequence of instructions that instructs the computer to do a particular task. These algorithms are often written using code.
An algorithm can also be referred to as a recipe. A recipe might contain ingredients and steps. Each step may be a different instruction. For example, one instruction might read "add water into the pot" while another may read "heat pot until boiling."
Statistics
- 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)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- 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)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
External Links
How To
How to set up Cortana daily briefing
Cortana, a digital assistant for Windows 10, is available. It helps users quickly find information, get answers and complete tasks across all their devices.
To make your daily life easier, you can set up a daily summary to provide you with relevant information at any moment. Information should include news, weather forecasts and stock prices. It can also include traffic reports, reminders, and other useful information. You can decide what information you would like to receive and how often.
Win + I will open Cortana. Select "Daily briefings" under "Settings," then scroll down until you see the option to enable or disable the daily briefing feature.
If you've already enabled daily briefing, here are some ways to modify it.
1. Start the Cortana App.
2. Scroll down to the section "My Day".
3. Click the arrow beside "Customize My Day".
4. Choose the type of information you would like to receive each day.
5. You can change the frequency of updates.
6. Add or remove items to your list.
7. Keep the changes.
8. Close the app