In this important lecture, we discuss the ethical considerations and best practices for working with Generative AI. As AI technologies like GPT, Codex, and DALL·E grow in power, understanding how to use them responsibly becomes crucial. This session covers the key principles of Responsible AI and how to ensure your use of Generative AI aligns with ethical standards and guidelines.
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00:00now last but not the least in this module we have to talk about responsible generative AI now as we
00:15already know we have principles of responsible AI and we already know those principles which
00:21we should not break while developing AI applications same way while generating a content using AI you
00:28have to take care of couple of principles and standards in your mind that's what responsible
00:32generative AI is all about in this case there are four stages which you have to understand first now
00:38when you're planning for responsible generative AI the first stage is actually identify so identify
00:45a potential harms that are relevant to your planned solution there are chances that when you are
00:52developing a generative AI solution it can be harmful for certain users you have to identify
00:56this kind of things first then you have to measure the presence of these harms in the output which
01:03are generated by your solutions and if any kind of outputs you identify inside that you have to
01:08mitigate the harm at multiple layers in your solution to minimize their presence and impact
01:13and you have to ensure that you have a transparent communication about potential risk to the users so
01:20while launching that app while providing that lab to the end users you have to make sure that you are
01:25going to mention certain details associations with that and finally the fourth stage of this is operate you
01:32have to operate the solution responsibly by defining and following a deployment and operational readiness
01:38plan associated with that the stages are going to be correspond closely to the functions as a risk
01:46management framework associated with generative AI which is standardized guidelines followed by most of the
01:51organizations the remainder of this learning objective discuss each of the stages in detail actually so
01:58you have to provide suggestions for your actions you can take to implement a successful and responsible
02:04generative AI solutions and this is something which is very important to read and understand from
02:10certification exam point of view also for AI 900 last but not the least we have a demo association for content filter i strongly recommend you to go through this link and try to understand how the content
02:21filter works with the Azure open AI and this is the time we have to do the knowledge check of this module i request you to pause your video right now just try to guess the right answer of these three questions and after a few seconds you can resume it to guess to check whether you have guessed it correctly or not so these are the correct answers i hope you guessed it correctly with this i want to thank you for enrolling in this course i hope this was having a great
02:51valuable information shared with you this azure ai 900 course is a fundamental course but if you are
02:57really serious about ai and azure cloud i strongly recommend you to go for certification for the
03:03certification exam for the lab configuration for any other details if you feel like you
03:10have issues and you need a help or you need a guidance feel free to connect with us we are a happy community of
03:16hundreds of hundreds and thousands of users on azure we will be more than happy to help you in your
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