They sure will. Here's a quick analysis of how, from my perspective as someone who studies societal impacts of natural language technology:

First, some guesses about system components, based on current tech: it will include a very large language model (akin to GPT-3) trained on huge amounts of web text, including Reddit and the like.
It will also likely be trained on sample input/output pairs, where they asked crowdworkers to create the bulleted summaries for news articles.
The system will be some sort of encoder-decoder that "reads" the news article and then uses its resulting internal state to output bullet points. Likely no controls to make sure the bullet points are each grounded in specific statements in the article.
(This is sometimes called "abstractive" summarization, as opposed to "extractive", which has to use substrings of the article. Maybe they're doing the latter, but based on what the research world is all excited about right now, I'm guessing the former.)
So, in what ways will these end up racist?
1) The generator, giving the outputs, will be heavily guided by its large language model. When the input points it at topics it has racist training data for, it may spit out racist statement, even if they aren't supported by the article.
2) If sample input/output pairs will likely have been created by people who haven't done much reflecting on their own internalized racism, the kinds of things they choose to highlight will probably reflect a white gaze which the system will replicate.
[Ex: A Black person is murdered by the police. The article includes details about their family, education, hobbies, etc as well as statements by the police about possibly planted evidence. Which ends up in the summary?]
1&2 are about being racist in the sense of saying racist things. It will also likely be racist in the sense of disparate performance:
3) The system, trained mostly on mainstream/white-gaze texts, when asked to provide a summary for an article written from a BIPOC point of view, won't perform as well.
4) When the system encounters names that are infrequent in American news media, they may not be recognized as names of people, sending the generator down weird paths.
1-4 are all about system performance, but what about its impact in the world?
5) System output probably won't come with any indication of its degree of uncertainty/general level of accuracy/accuracy with the type of text being fed in. So people will pick up 'factoids' from these summaries that are wrong (and racist).
6) System output won't indicate what kinds of things usually make it into the summary, so the already racist patterns of e.g. how Black victims of police violence are described in the press as consumed by readers will get worse (see pt. 2).
I'm sure there's more, but that's my quick analysis for tonight.

More from Tech

The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.


This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/


A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/

https://t.co/uAORIJ5BYX 4/

https://t.co/yOGZ0pLfHG 5/
On Wednesday, The New York Times published a blockbuster report on the failures of Facebook’s management team during the past three years. It's.... not flattering, to say the least. Here are six follow-up questions that merit more investigation. 1/

1) During the past year, most of the anger at Facebook has been directed at Mark Zuckerberg. The question now is whether Sheryl Sandberg, the executive charged with solving Facebook’s hardest problems, has caused a few too many of her own. 2/
https://t.co/DTsc3g0hQf


2) One of the juiciest sentences in @nytimes’ piece involves a research group called Definers Public Affairs, which Facebook hired to look into the funding of the company’s opposition. What other tech company was paying Definers to smear Apple? 3/ https://t.co/DTsc3g0hQf


3) The leadership of the Democratic Party has, generally, supported Facebook over the years. But as public opinion turns against the company, prominent Democrats have started to turn, too. What will that relationship look like now? 4/

4) According to the @nytimes, Facebook worked to paint its critics as anti-Semitic, while simultaneously working to spread the idea that George Soros was supporting its critics—a classic tactic of anti-Semitic conspiracy theorists. What exactly were they trying to do there? 5/
So we had to develop technologies like this to barely manage control over limited areas in Iraq's few urban centers. Only ~8 in 100 Iraqi adults owns a personal vehicle. That rate is > 1 car/adult in America yet I have never seen any doctrine paper or work of fiction address this


We've seen and struggled in civil conflicts with instant, local, universal, distributed communications (cell phone era, basically every conflict since 2000). We've seen and struggled in conflicts with instant, global, universal distributed communications (everything since 2011).

The world's most overfunded military and glow in the dark agencies struggle and largely fail to contain conflicts where fhe vast, vast majority of people are locked into a ~5mi radius of their home.

How can they possibly contain a conflict in a nation with universal car ownership and the most developed road network in the world? The average car can travel over 400 miles on one tank of gas, how can you contain the potential of that kind of mobility?

I think that's partially why the system was so freaked out by 1/6. Yes, most of it is histrionics but you don't decide to indefinitely turn your capital into the Baghdad Green Zone with fortifications and 25k troops over histrionics alone.
(1) Some haters of #Cardano are not only bag holders but also imperative developers.

If you are an imperative programmers you know that Plutus is not the most intuitive -> (https://t.co/m3fzq7rJYb)

It is, however, intuitive for people with IT financial background, e.g. banks

(2)

IELE + k framework will be a real game changer because there will be DSLs (Domain Specific Languages) in any programming language supported by K framework. The only issue is that we need to wait for all this

(3) Good news is that the moment we get IELE integrated into Cardano, we get some popular langs. To my knowledge we should get from day one: Solidity and Rust, maybe others as well?

List of langs:
https://t.co/0uj1eBfrYj, some commits from many years ago..

@rv_inc ?

#Cardano

(a) Last but not least, marketing to people with Haskell, functional programming with experience and decision makers in banks is a tricky one, how do you market but not tell them you want to replace them. In the end one strategy is to pitch new markets, e.g. developing world

(b) As banks realize what is happening they maybe more inclined to join - not because they would like to but because they will have to - in such cases some development talent maybe re-routed to Plutus / Cardano / Algorand / Tezos

You May Also Like

I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.


I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.

In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.

So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.

Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.
Хајде да направимо мали осврт на случај Мика Алексић .

Алексић је жртва енглеске освете преко Оливере Иванчић .
Мика је одбио да снима филм о блаћењу Срба и мењању историје Срба , иза целокупног пројекта стоји дипломатски кор Британаца у Београду и Оливера Иванчић


Оливера Илинчић је иначе мајка једне од његових ученица .
Која је претила да ће се осветити .

Мика се налази у притвору због наводних оптужби глумице Милене Радуловић да ју је наводно силовао човек од 70 година , са три бајпаса и извађеном простатом пре пет година

Иста персона је и обезбедила финансије за филм преко Беча а филм је требао да се бави животом Десанке Максимовић .
А сетите се и ко је иницирао да се Десанка Максимовић избаци из уџбеника и школства у Србији .

И тако уместо романсиране верзије Десанке Максимовић утицај Британаца

У Србији стави на пиједестал и да се Британци у Србији позитивно афирмишу како би се на тај начин усмерила будућност али и мењао ток историје .
Зато Мика са гнушањем и поносно одбија да снима такав филм тада и почиње хајка и претње која потиче из британских дипломатских кругова

Најгоре од свега што је то Мика Алексић изговорио у присуству високих дипломатских представника , а одговор је био да се све неће на томе завршити и да ће га то скупо коштати .
Нашта им је Мика рекао да је он свој живот проживео и да могу да му раде шта хоће и силно их извређао