Healthcare
How can doctors make treatment decisions clearer and safer for patients?
In healthcare, doctors often face the challenge of creating personalised treatment plans while navigating a maze of clinical guidelines, patient records, and individual preferences. This complexity can lead to inefficient workflows, alert fatigue, medical errors, and confusion for patients who struggle to understand or follow their prescribed care. The result: missed opportunities for better outcomes and reduced patient engagement.
The solution: XAI in Clinical Decision Support Systems (CDSS)
Our Use Case 1 explores how XAI can be integrated into CDSS to make healthcare decisions more transparent, personalised, and effective. With the Kyklos AI toolset, clinicians in the Netherlands will be able to:
- Summarise and apply clinical guidelines directly within their workflow
- Incorporate patient preferences into treatment planning
- Offer clear, evidence-based recommendations that both doctors and patients can understand
- Promote shared decision-making, empowering patients to actively participate in their care through an XAI-enabled assistant.
The system is designed to reduce errors, improve adherence to treatment, and enhance trust between patients and healthcare professionals. By focusing on explainability and usability, the XAI-CDSS aims to overcome common barriers like poor user experience and information overload.
Built on the AIXPERT Framework
To ensure transparency and trust, the Kyklos CDSS will be adapted to meet AIXPERT’s explainability requirements. Modular AI agents will handle tasks such as:
- Interpreting guidelines
- Analysing patient context
- Validating recommendations
Recruitment
How can AI in job platforms deliver transparent feedback to candidates while helping recruiters process applications fairly and efficiently?
In the hiring process, large volumes of applications are often manually screened, leaving candidates without clear feedback and recruiters struggling with inefficiency and potential bias. Integrating XAI and Natural Language Processing (NLP) into recruitment platforms can address these challenges by improving fairness, transparency, and alignment between candidates and job opportunities.
AIXPERT, an AI-driven system combining XAI and NLP, is integrated into recruitment platforms to provide actionable, explainable, and bias-mitigated insights.
Empowering candidates with clarity and growth
Through the AIXPERT solutions, candidates will enjoy many benefits, including:
- Clear explanations for why applications were unsuccessful, highlighting skill alignment and growth areas
- Personalised reskilling/upskilling recommendations (e.g., suggested courses)
- Transparent AI insights supported by educational materials
- Feedback from one-way video interviews, with transcripts and structured analysis of responses.
Enabling recruiters to hire smarter and fairer
Recruiters can benefit from insights into market-trends and up-to-date recommendations.
- Automated CV and job description analysis to highlight skill matches/mismatches
- Bias-mitigated insights into candidate suitability
- Faster shortlisting and reduced hiring time
- Transparent insights into candidate skills match vs. potential development areas to build trust.
Manufacturing
How can AI-enabled automation support human workers in complex manufacturing environments while improving efficiency and workforce adaptability?
As production systems become more technically complex, manufacturers face challenges in retaining organisational knowledge, upskilling workers, and ensuring safe, efficient operations. Human-AI collaboration is needed to balance automation with human expertise and inclusivity.
Empowering operators with real-time guidance
To maximise operator effectiveness, AIXPERT delivers actionable insights and guidance directly in the production workflow:
- Monitors production activities and provides context-specific recommendations
- Detects potential issues to improve quality, efficiency, and safety
- Allows operators to contribute expertise alongside AI feedback
- Supports personalised, on-the-job training while respecting privacy and compliance
Optimising production management and workforce transformation
By integrating AI into management workflows, AIXPERT ensures smarter operations and upskilled personnel:
- Integrates agent-based AI models into smart factory workflows
- Benchmarks AI interventions against traditional SOPs to measure efficiency, explainability, and adoption
- Helps workers develop new skills for AI-enabled production systems.
Educational robotics
How can classroom robots provide personalised learning while keeping students engaged and building trust?
Traditional educational tools often deliver one-size-fits-all instruction and can’t explain their reasoning, leaving students confused or disengaged. Integrating XAI into classroom robots can make learning interactive, adaptive, and transparent.
Engaging and tailored-learning for students
- Feedback and additional resources based on individual needs
- Explanations of the reasoning behind suggestions to build trust and comprehension
- Adaptable behaviour to maintain engagement and respond to classroom conditions
- Creation of a safe, effective, and interactive learning environment
Smarter, insight-driven support for teachers
- Insights into student progress and challenges
- Frees teachers to focus on higher-level instruction and personalised interaction
- Enhancement of classroom management by dynamically adapting to situations
- Compliance and safety through monitored AI assistance
Creative industries
Protecting creativity with XAI music detection
The music industry is being transformed by AI-powered tools that generate music from minimal input. Unlike human composers, AI relies heavily on its training data, which can inadvertently reproduce existing works. While humans can easily identify similarities in rhythm, melody, or harmony, AI systems struggle. XAI is needed to detect, explain, and flag AI-generated compositions, giving human experts the ability to make informed decisions.
How AIXPERT comes into play
AIXPERT brings transparency and intelligence to music detection. By applying XAI to analyse compositions, it can detect elements such as melody, harmony, and rhythm that may be too similar to existing works. Importantly, it doesn’t replace human judgment; it augments it. Experts can review AI findings, refine searches with natural language feedback, and make final decisions with confidence.
What AIXPERT provides
- Detection of AI-generated music that may mimic copyrighted works
- Transparent explanations of why a piece is flagged, focusing on specific musical components
- Human-in-the-loop refinement using natural language feedback to reduce false positives/negatives
- Support for legal enforcement and intellectual property protection