Safety and Beneficence of Artificial Intelligence

Are you ready for this secret about the safety and beneficence of AI?

Scientists have to pay more attention to the AI safety issue as the technology grows with the advancement of artificial intelligence. Experts have to ensure that these tech possibilities fit our moral values and artificial intelligence has to add values to people beyond achieving valuable goals and handling technical challenges.

AI can transform and change the world. Its success involves not only the quality of the algorithms but the level of ethical discussion and public involvement, transparency. Technical professional association emphasized the importance of responsibility for ethics to prevent the pitfalls of algorithmic biases.

Provide open scientific communicating

AI systems have the potential to affect economy and policy of different countries. Openness helps to eliminate potential risks and provide the best influence. So, AI teams have to keep global safety and to discuss difficult questions with the community without any doubt. It will bring benefit for people and guarantee that artificial intelligence will not violate human rights.

Facebook, Google, and Microsoft organized the global discussion around the AI issues. Their goal is to teach the people how to cooperate with AI and its further development. The focus of the community is a refreshing debate to more pop-culture dialog about the risks of AI and possible challenges of bias artificial intelligence frameworks. The organization wants to apply an open license to release researches, involving ethics and privacy.

Financing will be coming from the large tech companies, but in the future, involvement will be expanded. Initiators want to engage people impacted by AI as well. The structure has been developed to help non-corporate groups to have access side-by-side with tech giants.

Microsoft has already generated AI ethics boards and the community creates a discussion for sharing advices. The group wants to make forums publicly accessible.

Many students are interested in machine learning, that’s why many conferences and classes are provided. There is Artificial Intelligence Open Network that teaches the machine learning experts and any researcher may join this community. Education credentials and affiliation don’t play role and scientists may collaborate and share their expertise. The accessibility for contributors to the research process leads to the stronger achievements and faster innovations. Communicating speeds up research and is a stimulation of the progress. In the network, scientists may tackle challenges and crowd-source data, brainstorm suggestions wide across scientific areas.

The code is open-sourced and each experiment is documented to recreate it. Anyone may add research problems that will be published on the website to be available to the public.

Develop corrigible AI systems

Creating intelligent systems which will collaborate with their operators will be critical as technology becomes more advanced and has control and influence. Corrigible agents demand a framework for learning to align tools with the assignments. We need to create concerning approaches that help to ensure corrigibility and software methodology that will eliminate the system resistance.

Make sure that AI systems are transparent

Visual question answering requires the machine to create a natural language respond using the convolutional neural network and a multi-layer classifier to forecast answers. It shows the lack of transparency AI systems.

If intelligent systems fail, it is important to have some guide with an explanation, reason, and understanding how to fix it. The design of these systems has to be open for other researchers to contribute and evaluate the situation.

For example, fintech applies the technology including data privacy and identity and provides financial regulation for more transparency for the clients. It makes AI systems very valuable to financial institutions.

AI systems have to be clear for human operators and developers need to share debugging tools. AI teams are aimed to eliminate possible failures and create a strategy to successfully perform systems.

Provide open scientific communicating to eliminate potential risks and provide the best influence. So, AI teams have to keep global safety and to discuss difficult questions with the community without any doubt. It will bring benefit for people and guarantee that artificial intelligence will not violate human rights. Communicating speeds up research and is a stimulation of the progress. In the network, scientists may tackle challenges and crowd-source data, brainstorm suggestions wide across scientific areas.

Ensure that AI systems are transparent. If intelligent systems fail, it is important to have some guide with an explanation, reason, and understanding how to fix it. The design of these systems has to be open for other researchers to contribute and evaluate the situation.

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