#misinformation #scicomm #citizenscience
Bias, Scientific method, Critical thinking, Artificial intelligence, Systemic bias, Cognitive bias

Citizen Scientists Fighting Misinformation

On Oct 24, 2020
@scicheer shared
RT @scienceconn: Wondering what you can do to help fight misinformation? The #citizenscience project @Public_Editor_ offers tangible ways to help vet the credibility of news. Learn more from @traversjul and our friends at @SciStarter. #scicomm #misinformation https://t.co/DW4deYG5yR
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A new project called Public Editor invites citizen scientists to work together to fight misinformation and vet the credibility of news.

On Oct 24, 2020
@scicheer shared
RT @scienceconn: Wondering what you can do to help fight misinformation? The #citizenscience project @Public_Editor_ offers tangible ways to help vet the credibility of news. Learn more from @traversjul and our friends at @SciStarter. #scicomm #misinformation https://t.co/DW4deYG5yR
Open

Citizen Scientists Fighting Misinformation

Citizen Scientists Fighting Misinformation

A new project called Public Editor invites citizen scientists to work together to fight misinformation and vet the credibility of news.

Can Citizen Science Help Fight Misinformation and Biased News Coverage?

Can Citizen Science Help Fight Misinformation and Biased News Coverage?

A new project called Public Editor asks citizen scientists to work together and vet the credibility of the news. 

4 obstacles to ethical AI (and how to address them)

4 obstacles to ethical AI (and how to address them)

Data bias, opacity, data monopoly, and job loss are issues that plague the field of artificial intelligence. Here are some simple solutions to these problems. @Enterprisenxt

Slow thinking and machine learning in medicine

Slow thinking and machine learning in medicine

While we need the analytical tools that AI and machine-learning can give us, we also need human capacities for messy debate, structured thought and the willingness to face uncomfortable ...

The Importance of Nuance

The Importance of Nuance

Artificial intelligence may seem objective, but it’s subject to human biases

AI can pick candidates even before they apply for a job

AI can pick candidates even before they apply for a job

India Business News: By Chaitanya Sreenivas Ever since ‘personnel administration’ came into being in the 1900s, it has continuously evolved, more so in the last decade.

Why the Organisation of Tomorrow comes with Great Responsibility?

Why the Organisation of Tomorrow comes with Great Responsibility?

Data-driven organisations come with great opportunities, but also with the responsibility to protect customers, employees & the…

Untitled

Untitled

1 Everyday Ethics for Artificial Intelligence A practical guide for designers & developers 2 September 2018 Adam Cutler: IBM Distinguished Designer Milena Pribić: Designer Lawrence ...

Explaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple Taxa

Explaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple Taxa

The collation of citizen science data in open-access biodiversity databases makes temporally and spatially extensive species’ observation data available to a wide range of users. Such data ...

AI Researchers Answer the 5 Big Questions About Fairness

AI Researchers Answer the 5 Big Questions About Fairness

If there are biases inherent in real-world data, AIs trained on that data get inculcated with those biases. We asked leading researchers 5 key questions about building AIs that behave with ...

Want a Functioning AI Model? Beware of Biased Data

Want a Functioning AI Model? Beware of Biased Data

In this special guest feature, Sinan Ozdemir, Director of Data Science at Directly, points out how algorithmic bias has been one of the most talked-about issues in AI for years, yet it ...

What do we do about the biases in AI?

What do we do about the biases in AI?

AI can help humans with bias, but only if humans are working together to tackle bias in AI, write James Manyika, Jake Silberg, and Brittany Presten in Harvard Business Review.

What Do We Do About the Biases in AI?

What Do We Do About the Biases in AI?

Three steps for leaders to take.

We all have unconscious bias. Here’s how to eliminate it in hiring.

We all have unconscious bias. Here’s how to eliminate it in hiring.

Diversity is the greatest driver of a company's success, and unconscious bias is the biggest saboteur. Here's how to find and eliminate it for good.