As AI begins to play a much larger role in our daily lives, informing healthcare decisions, making recommendations, helping us resolve customer service issues, talking with us as companion bots, making financial decisions, driving autonomous cars, and helping employees make more informed, faster decisions, it becomes more important that ethics and morality are built into AI applications. AI applications are making decisions that affect people’s privacy, health, finances, jobs, criminal justice, safety, and overall happiness. Ethical AI is no longer an afterthought — it must be built into the fabric of AI from this point forward. This article will look at the ways that ethics and diversity are being built into AI and the importance of doing so.
Tech Giants Stand Behind Ethical AI
To ensure that AI is ethical, it must be transparent and explainable. Unconscious biases must be prevented or removed, and human review processes must occur regularly. Ethical standards must be developed and adhered to by brands that create, develop, and use AI. Companies such as Google and Microsoft have already published ethical AI principles. Microsoft puts its ethical standards into practice through its Office of Responsible AI (ORA), the AI, Ethics, and Effects in Engineering and Research (Aether) Committee, and Responsible AI Strategy in Engineering (RAISE).
Additionally, aside from implementing ethical practices within AI applications, it’s important that brands do not use AI for applications that violate the greater good of the community and the world at large. Google has committed that while it will work with government entities on AI technologies for cybersecurity, training, military recruitment, veterans’ healthcare, and search and rescue, it absolutely will not develop AI-based weapons or other technologies “whose principal purpose or implementation is to cause or directly facilitate injury to people.”
Continue reading: https://www.cmswire.com/digital-experience/what-is-ethical-ai-and-why-is-it-vitally-important/
Tech Giants Stand Behind Ethical AI
To ensure that AI is ethical, it must be transparent and explainable. Unconscious biases must be prevented or removed, and human review processes must occur regularly. Ethical standards must be developed and adhered to by brands that create, develop, and use AI. Companies such as Google and Microsoft have already published ethical AI principles. Microsoft puts its ethical standards into practice through its Office of Responsible AI (ORA), the AI, Ethics, and Effects in Engineering and Research (Aether) Committee, and Responsible AI Strategy in Engineering (RAISE).
Additionally, aside from implementing ethical practices within AI applications, it’s important that brands do not use AI for applications that violate the greater good of the community and the world at large. Google has committed that while it will work with government entities on AI technologies for cybersecurity, training, military recruitment, veterans’ healthcare, and search and rescue, it absolutely will not develop AI-based weapons or other technologies “whose principal purpose or implementation is to cause or directly facilitate injury to people.”
Continue reading: https://www.cmswire.com/digital-experience/what-is-ethical-ai-and-why-is-it-vitally-important/
