📨 Weekly digest: 10 2024 | Artificial Intelligence: Are we ready for it?
What if not? | AI this week in the news; use cases; for the techies
Hello friends,
I have been in the technology field for more than 25 years. A machine is a machine.
We teach machines what we want them to do for us until they break down.
We teach computers to see patterns, much like children to read.
Some machines (computers) already learn from us. But can they teach themselves? Can they learn independently? Do we need them to?
Computers are just like humans. They learn primarily through observation or trial and error. Since artificial intelligence seems to be everywhere, we are really witnessing a "supervised learning revolution."
However, computers must go beyond supervised learning to reach the holy grail of human-level intelligence.
Will AI ethics focus on addressing foreseeable use cases?
Things go wrong when organizations treat all use cases as one, and more often than we think, they need to model use cases.
AI systems don't have models "under the hood" that help to identify what the user is asking for (and whether it should be generated).
As such, without a grounded ethics analysis of use cases in different contexts, and despite the huge advancements made in annotated data (images, audio, or text), we remain constrained to relatively narrow domains defined largely by the training data.
I guess what Humans want is to move from systems that require lots of human knowledge and hand engineering" toward "increasingly more and more autonomous systems.
One of the most critical parts of operationalizing ethics in AI is articulating foreseeable use, including malicious use and misuse. It means working through questions such as: Once the model we're considering building is deployed, how will people use it? How can we design this model as beneficial as possible in these contexts?
We need more approaches recognizing the central importance of "context of use" when creating AI systems.
What do you think?
If you haven't already, you can start with our workbook, Building a data-driven organization.
Looking forward to reading your thoughts in a comment.
Happy days,
Yael et al.
🦾 AI elsewhere on the interweb
♻️ AI: use cases
Ethical AI Isn’t to blame for Google’s Gemini debacle on Time
Meta targeted in privacy complaints by EU consumer groups on Reuters
European digital rights groups say the future of online privacy is on a knife edge on TechCrunch
For the techies, research papers, and more
Fast access to our weekly posts
🚀 Unbundling AI
📮 Maildrop
🎯 How-tos
🎲 Data and trends
📨 Weekly digest
You are receiving this email because you signed up for Sustainability Insights by Yael Rozencwajg. Thank you for being so interested in our newsletter!
Weekly digest are part of Sustainability Insights, approaches and strategies.
We share tips to help you lead, launch and grow your sustainable enterprise.
Become a premium member, and get our tools to start building your AI based- enterprise.
Not a premium?
Thank you for being a subscriber and for your ongoing support.
If you haven’t already, consider becoming a paying subscriber and joining our growing community.
To support this work for free, consider “liking” this post by tapping the heart icon, sharing it on social media, and/or forwarding it to a friend.
Every little bit helps!