Description

Human Resource Selection & Assessment

Designing VALID Selection Systems with AI and Evidence-Based Methods

From theory to practice: designing a complete Selection Plan through scientific methods, AI, and operational tools.

Course Description

Artificial intelligence is rapidly transforming both the way organizations recruit and the way candidates prepare for selection processes.

AI-optimized CVs, automatically generated cover letters, interview preparation chatbots, and increasingly automated screening systems are making a long-standing problem even more visible: many selection processes still rely on poorly predictive and weakly structured methods.

This course introduces the VALID model, an evidence-based approach to selection and assessment that integrates:

• scientific evidence;
• empirically validated tools;
• AI-based operational support systems.

The objective is to provide participants with a practical framework to:

• design more scientific selection processes;
• reduce bias and decision-making errors;
• build a complete Selection Plan in dramatically reduced time.

During the course, participants will use AI-supported VALID tools to work on:

• expected performance;
• Work-Related Characteristics (WRC);
• assessment tools and tests;
• structured interviews;
• scoring systems and candidate comparison.

The course combines theoretical foundations with practical workshops, allowing participants to design a complete selection process that can also be applied without technological tools.

Target Audience

This course is designed for:

• Work and Organizational / Occupational Psychologists;
• HR Specialists;
• Recruiters;
• HR Managers.

Course Outcomes

By the end of the course, participants will be able to:

• design a complete Selection Plan;
• select assessment tools aligned with job requirements;
• generate structured interviews;
• produce comparable outputs and candidate evaluations;
• integrate AI and scientific methods into HR processes.

AI and Method

Throughout the course, participants will use AI-supported VALID tools to:

• explore occupations and professional profiles;
• identify relevant predictors of performance;
• support the selection of assessment tools;
• generate structured interviews;
• accelerate the design of Selection Plans.

AI does not replace the method.

It makes the method scalable.

Learning Objectives

By the end of the course, participants will be able to:

• understand the principles of scientific selection;
• apply the VALID model;
• identify candidate characteristics that truly predict performance;
• select assessment tools aligned with the role;
• design structured interviews;
• use AI to accelerate the design of selection processes;
• transform evaluations into comparable scores and indicators;
• understand the ROI of selection.

Program

Foundations of Scientific Selection

• Why traditional selection often fails
• Introduction to the VALID model
• Predictive validity, reliability, and defensibility
• Job Performance, Work-Related Characteristics, and role requirements
• From job analysis to evidence-based Selection Plans
• Scientific selection tools: tests, interviews, work samples, and assessment methods

Workshop: building the role profile and defining expected performance

Assessment, Interviews, and Measurement Tools

• Matching assessment tools to role requirements
• Personality assessment and AI-supported questionnaire generation
• Cognitive ability testing and its role in predicting job performance
• Self-report measures, social desirability, and response distortion
• Structured interviews and cognitive biases
• Critical Incident Technique and Patterned Behavioural Interview
• Behaviourally anchored rating scales and inter-rater reliability
• Assessment centres: strengths, limits, and when they are worth using
• AI-supported generation of interview questions and scoring rubrics

Workshop: building structured interviews, questionnaires, and assessment tools

Decision-Making, Scoring, and ROI

• Percentiles, normative comparison, and candidate profiles
• From assessment results to comparable candidate scores
• Bullet graphs, ranking, and candidate comparison
• Structured decision-making and bias reduction
• Selection ROI and the cost of hiring errors
• Human judgment, AI support, and final decision responsibility

Workshop: building a complete VALID Selection Plan

Final Note

The VALID method can also be applied without technological tools.However, the use of structured systems supported by data and AI dramatically reduces design time, increases consistency, and improves the quality of selection decisions.

In this sense, the course does not simply teach how to “use AI in recruitment.” It teaches how to design scientific selection processes that AI can make faster, scalable, and more defensible.

Documentation

The documentation used in the classroom will be made available to participants for consultation through the huract.online LMS (Learning Management System) for one year from the course date.