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
03:22confusions thank you
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