Hey All,
My initial intent with app development started out simple, I wanted to automate the boring things so I can focus on higher value work. I get a pure joy out of working smarter and love to share my creations with others. Who doesn’t love more free time?
But now we are in a entirely new age. Specifically, the AI era. And when I start swinging the metaphorical hammer within the app development realm, I start to discover ethical considerations that can cause one to pause. Even if I follow the right guidelines in my building of the widget, how do I know what I create will be used fairly?
For example, Let’s say I developed a feature that can extract information from a webpage. It’s crucial to ensure that it’s used responsibly and doesn’t infringe on the content creator’s privacy or copyright laws. So now I need to be an expert on strict guidelines for data usage, ensuring transparency about how any AI process my app utilizes handles information. But it gets darker…
I have to think about the potential impact with technology on jobs and society. Just because I can, do I create solutions that augment or replace human capabilities? Answers to these questions are not always clear. But we are not alone, and that is why I am writing this post today.
Last week on my roundup, I shared a nifty piece of documentation titled, Power Platform Well-Architected assessment. And there is a particular section I want to highlight today titled, Responsible AI. Below is a brief outline of the content that has really helped guide me in this new world of AI development. Enjoy!
- Intelligent application workloads should follow responsible AI principles, including fairness, accountability, transparency, and ethical behavior.
- Microsoft has made significant investments to prevent abuse and unintended harm in generative models, such as incorporating their principles for responsible AI use and building content filters.
- Power Platform copilots and generative AI features follow Microsoft’s Responsible AI Standard and are protected by comprehensive compliance, security, and privacy controls.
Learn more:
- Microsoft AI principles
- Microsoft responsible AI resources
- Microsoft Azure Learning courses on responsible AI
- Responsible AI FAQs for Copilot Studio
- Overview of Responsible AI practices for Azure OpenAI models
If this post was helpful, please share it as a token of your appreciation and consider subscribing to be notified of new content!
Did you know I have a Podcast? Check out the links below and follow the show!
- Apple Podcasts ā https://podcasts.apple.com/us/podcast/level-up-m365/id1718776415
- Spotify ā https://podcasters.spotify.com/pod/show/levelupm365/
