Algorithms Are People

“Try as companies might to minimize personal accountability, it is humans who build, train, and deploy algorithms. Human biases and subjectivities are encoded every step of the way.” https://www.theatlantic.com/technology/archive/2019/09/is-amazons-search-algorithm-biased-its-hard-to-prove/598264/

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yea they are all closed source so even if you had a guess they change and are more fluid but no one besides peter theil and jeff bezos and mark zuckerberg have access to them and supercomputers

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In the case of facebook Mark Zuckenberg alone can configure fb algorithm, what can people see in their newsfeed, privacy settings they can use even which messages get delivered. He sets the rule basically.

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to append to your post that also must apply to every other entity he owns (whatsapp, instagram, who knows what else)

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"Predictive algorithms have found their way into many areas of society, including health care. But plenty of research has shown these AIs can have the same sort of biases that creators do, despite being designed to be “neutral”. In this case this result in hurting black patient. We know that there is racism in healthcare toward black people in particular. Now technology give it another way to sustain and add another dimension to the practice. This is where diversity comes in. If technologists creating the algorithm were diverse if would help in creating a more balance and inclusive results. In general diversity in tech from those working in tech, investing in tech, enterpreneur in tech, etc. bodes well for tech but more importantly the whole society as well. https://gizmodo.com/how-a-neutral-health-algorithm-ended-up-hurting-black-p-1839364174

I cannot beleive with some certain tribe extreme obssession of racism and its now in the open now in real life and now showing in technology such as AI and algorithm. They want to continue this sh*t till kingdom come.

Why do you assume that diversity in what? (I will assume race because you chose race.) You are necessarily stating that those who experience bias, ergo are discriminated against, are necessarily not biased because they are victims of the creator of the algorithm bias? Yeah, when you read it back sounds a bit silly. The ‘victim’ of the algorithm’s bias is himself biased because he expects to be discriminated against. Wouldn’t that be built into any algorithm he designed himself? Your premise is nonsensical.
Instead, I would propose that an anti-bias algorithm that could universally be applied all sets of calculations to detect bias human bias in general.
Who’s up for that one?

@nmreintges one manner to help solve biases in algorithm is diversity( minorities including women) in the workforce, management etc. In the health care system for example there is a disproportionate mistreatment and mismanagement of black patients and other people of color. This is happening in other sphere of life too. If you build those biases into the algorithms and don’t deal with it. You’re going to make those biases pervasive and more systematic. Perpetuating those biases basically. This will in turn recreate society’s biases. I would like to quote an internationally acclaimed scientist: “When we design a technology, a piece of technology, when we make it into a product, into a service, when we ship it to the consumers, the whole process included our values.” “or the values of the companies, or the solution makers.” I don’t think there is one fit-fits all solution for this kind of problem. Human beings are too complex and messy.

“The numbers tell the tale of the AI industry’s dire lack of diversity. Women account for only 18% of authors at leading AI conferences, 20% of AI professorships, and 15% and 10% of research staff at Facebook and Google, respectively. Racial diversity is even worse: black workers represent only 2.5% of Google’s entire workforce and 4% of Facebook’s and Microsoft’s. No data is available for transgender people and other gender minorities—but it’s unlikely the trend is being bucked there either.”

“This is deeply troubling when the influence of the industry has dramatically grown to affect everything from hiring and housing to criminal justice and the military. Along the way, the technology has automated the biases of its creators to alarming effect: devaluing women’s résumés, perpetuating employment and housing discrimination, and enshrining racist policing practices and prison convictions.”

Artificial intelligience will help determine if you get your next job

“With parents using artificial intelligence to scan prospective babysitters’ social media and an endless slew of articles explaining how your résumé can “beat the bots,” you might be wondering whether a robot will be offering you your next job.”

“We’re not there yet, but recruiters are increasingly using AI to make the first round of cuts and to determine whether a job posting is even advertised to you. Often trained on data collected about previous or similar applicants, these tools can cut down on the effort recruiters need to expend in order to make a hire. Last year, 67 percent of hiring managers and recruiters surveyed by LinkedIn said AI was saving them time.”

“But critics argue that such systems can introduce bias, lack accountability and transparency, and aren’t guaranteed to be accurate.”

https://www.vox.com/recode/2019/12/12/20993665/artificial-intelligence-ai-job-screen?utm_campaign=vox&utm_content=entry&utm_medium=social&utm_source=facebook&fbclid=IwAR1Fqq3rdHBTwi1IYQn5MH-Kq9zns4epLFpPeXfvYXqZUZ_NU7345PgB6K4