The post touches on many areas, including COVID-19, Health, Weather & Climate Change, Accessibility, Responsible AI, Natural Language Understanding, ML Algorithms, Applications of ML to Science, Machine Perception, Robotics, Algorithmic Theory, Open Datasets, and more.
(So hopefully there's something interesting for everyone!)
Many of the links in the post itself point off to papers or other material with much more detailed information about particular topics.
Would love to hear what pieces of work or general areas people are most interested in.
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AI is full of promise, with the potential to revolutionize so many different areas of modern society.
In order to realize its true potential, our field needs to be welcoming to all people. As it stands today, it is definitely not.
Our field has a problem with inclusiveness.
Too many in the field see those who are different as people to be belittled, demeaned, harassed, gaslit, or otherwise made to feel unwelcome or question whether they “belong”.
(And yes, when the bad behavior is disproportionately exhibited by those who are white and the people to whom it is directed are not, we need to call this what it is: racism.)
"It was full of... misinformation about the virus & the US response. That’s particularly painful coming from inside the CDC, a longtime powerhouse in global public health now reduced to being a backdrop for grubby politics."
Having worked @CDCgov & @WHO, it pains me to see this.
When I worked at @WHO, I was part of the Global Programme on AIDS (now @UNAIDS), created to help the world tackle the HIV/AIDS pandemic. The staff there were dedicated doctors and scientists intensely focused on helping address that crisis.
In times of crisis, clear and accurate information is vital to helping everyone make proper and informed decisions about how to respond (country, state, and local governments, companies, NGOs, schools, families, and individuals).
A reminder that some people in our field are alienating our female colleagues by flirting in settings that are meant to be professional and by trying to turn what should be topic- & setting-appropriate conversations into dates.
I'd like to draw attention to some of the retweets and replies that indicate how widespread an issue this is. Here's one, where @jeggers relates her experience (expand the thread).
Here's another, where @DynamicWebPaige
says that the problem is definitely ">50%", providing evidence for @sophiebits statement that maybe I was too optimistic by using the word "some" Sigh.