Some end of year predictions for next year. I much like the title mentions, which I do think are important. But don't necessarily fully agree with all of the futures mentioned. Still includes the opinions of many practitioners, which is useful.
2021 Predictions: ML Automation, K-anonymity, Hyperautomation, Semantic Graphs in AITrends
[Ed. Note: We have heard from a range of AI practitioners for their predictions on AI Trends in 2021. Here are predictions from a selection of those writing.]
Florian Douetteau, CEO and co-founder of Dataiku
Inclusive engineering will begin to make its way into the mainstream to support diversity. In order to ensure diversity is baked into their AI plans, companies must also commit the time and resources to practice inclusive engineering. This includes, but certainly isn’t limited to, doing whatever it takes to collect and use diverse datasets. This will help companies to create an experience that welcomes more people to the field — looking at everything from education to hiring practices. ... "
There will be more of an organizational commitment to putting humans and diversity at the center of AI development. Companies will look to include people who are representative of those who will use the algorithms if they want to truly reduce bias and foster diversity. While most training datasets have been developed against a small percentage of the population, companies will now look to consider expanding their scope to design training datasets that are all-inclusive. The more inclusive the group building the AI and the datasets, the less the risk for bias. ... "
No comments:
Post a Comment