Recommender system, Machine learning, Search algorithm, Artificial intelligence, Decision making, Implicit data collection

Algorithms and democracy - AlgorithmWatch Online Policy Dialogue, 30 October 2020

On Oct 30, 2020
@j2bryson shared
RT @vestager: In my mind no doubt that platforms - and the algorithms they use - can have an enormous impact on the way we see the world around us. We need to know why we are shown what we are shown. https://t.co/5FHSXQlPBQ
Open

Algorithms and democracy - AlgorithmWatch Online Policy Dialogue, 30 October 2020 - 2019-2024

ec.europa.eu
On Oct 30, 2020
@j2bryson shared
RT @vestager: In my mind no doubt that platforms - and the algorithms they use - can have an enormous impact on the way we see the world around us. We need to know why we are shown what we are shown. https://t.co/5FHSXQlPBQ
Open

Algorithms and democracy - AlgorithmWatch Online Policy Dialogue, 30 October 2020

Algorithms and democracy - AlgorithmWatch Online Policy Dialogue, 30 October 2020

Algorithms and democracy - AlgorithmWatch Online Policy Dialogue, 30 October 2020 - 2019-2024

Machine Learning Meets Interactive Stories

Machine Learning Meets Interactive Stories

On Friday, December 28th Netflix aired a special episode of their Black Mirror series called Bandersnatch. What made Bandersnatch…

Why A Product Search Engine And A Recommendation Engine Can’t Replace Each Other

Why A Product Search Engine And A Recommendation Engine Can’t Replace Each Other

The working of a search engine and a recommendation engine and why they caannot replace each other.

Building Recommender Systems with Machine Learning and AI

Building Recommender Systems with Machine Learning and AI

Help people discover new products and content with deep learning, neural networks, and machine learning recommendations. Includes 9.5 hours of on-demand video and a certificate of ...

How Netflix Uses Contextually-Aware Algorithms To Personalize Movie Recommendations

How Netflix Uses Contextually-Aware Algorithms To Personalize Movie Recommendations

The key success factor of your customer experience personalization comes from the effectiveness of your recommender system. How well can you predict what each of your customers is willing ...

EYZ Media Research: Cooperation With DAI-Labor TU Berlin

EYZ Media Research: Cooperation With DAI-Labor TU Berlin

Authors: Jing Juan, Andreas Lommatzsch, Antje Marx Recommender systems have proven effective to help the audience of streaming platforms finding relevant movies and serials hidden in huge ...

Why was your job application rejected: Bias in Recruitment Algorithms? (Part 1)

Why was your job application rejected: Bias in Recruitment Algorithms? (Part 1)

This guest post was contributed by Merve Hickok (SHRM-SCP), founder of AIethicist.org. It is part 1 of a 2-part series on bias in recruitment algorithms. Humans are biased. The algorithms ...

Regulating Recommending: Motivations, Considerations, and Principles

Regulating Recommending: Motivations, Considerations, and Principles

Regulating Recommending: Motivations, Considerations, and Principles

As algorithms take over, YouTube's recommendations highlight a human problem

As algorithms take over, YouTube's recommendations highlight a human problem

A supercomputer playing chess against your mind to get you to keep watching.

Recommender system

Recommender system

Collaborative filtering approaches build a model from a user's past behavior (items previously purchased or selected and/or numerical ratings given to those items) as well as similar ...

AI's Purpose Should be to Build a More Human Experience

AI's Purpose Should be to Build a More Human Experience

Using new technologies and building products with a clear purpose in mind can help organizations connect with users in a way that is more human and more useful.

AI, you have some explaining to do

AI, you have some explaining to do

By Thor Schueler You never know what goes on behind closed doors When it comes to your next-door neighbors, maybe it’s better that way. But in the context of artificial intelligence (AI) ...

POLITICO AI: Decoded: Trump’s White House throws its weight behind OECD AI efforts — Lobbying battle over Europe’s AI rules — Fighting hate speech with AI

POLITICO AI: Decoded: Trump’s White House throws its weight behind OECD AI efforts — Lobbying battle over Europe’s AI rules — Fighting hate speech with AI

How global thinking on AI is shaping the world, from Berlin, Brussels, London and beyond. POLITICO’s AI correspondent cuts through the noise, introduces you to the key decision-makers ...