Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

New Technologies in Recruitment

In course

HUM-387: How technology shapes the workplace of the future

Artificial intelligence, big data, and advances in computing power have triggered a technological revolution that may have enormous bearing on the workplace and the labor market. This course provides you with tools to analyze these developments, and discus ...

Description

This lecture explores how new technologies have revolutionized the recruitment process, focusing on the use of AI in identifying job candidates on social media and automated video interview analysis. It delves into the importance of predicting future work performance from candidate evidence, the significance of fair and accurate tools, and the challenges of using social media content for recruitment. The lecture also discusses the potential biases and ethical concerns associated with automated hiring tools, emphasizing the need for fairness and transparency in the recruitment and selection process.

Official source

Related concepts (32)

Social media

Social media are interactive technologies that facilitate the creation and sharing of information, ideas, interests, and other forms of expression through virtual communities and networks. While challenges to the definition of social media arise due to the variety of stand-alone and built-in social media services currently available, there are some common features: Social media are interactive Web 2.0 Internet-based applications.

Bias

Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation process that does not give accurate results on average. The word appears to derive from Old Provençal into Old French biais, "sideways, askance, against the grain".

Predictive analytics

Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. It represents a major subset of machine learning applications; in some contexts, it is synonymous with machine learning.

Predictive modelling

Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. In many cases, the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam.

Confirmation bias

Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values. People display this bias when they select information that supports their views, ignoring contrary information, or when they interpret ambiguous evidence as supporting their existing attitudes. The effect is strongest for desired outcomes, for emotionally charged issues, and for deeply entrenched beliefs.

Related lectures (32)

Firms: Human resources policies

Delves into the impact of new technologies on recruitment and selection processes in firms, emphasizing the need to predict future work performance.

Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Cognition, Language & Emotions

Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.

Irrational beliefs: sociological and psychological perspectives

Explores the reasons behind our susceptibility to irrational beliefs and the impact of sociological and psychological factors on our beliefs.

Introduction to Human Rights