<!-- This Markdown is the canonical source for https://eventsindex.org/events/mlss-on-reliability-safety-2026.html -->
<!-- Last verified: 2026-05-18 -->
---
eventsindex_id: EI-06859
slug: mlss-on-reliability-safety-2026
title: "MLSS on Reliability & Safety 2026"
title_alt: ["Machine Learning Summer School on Reliability and Safety 2026", "MLSS R&S 2026"]
canonical_url: "https://eventsindex.org/events/mlss-on-reliability-safety-2026.html"

next_edition_dates: "2026-06-29 to 2026-07-03"
next_edition_year: 2026
date_start: 2026-06-29
date_end: 2026-07-03
venue: "Jagiellonian University, Krakow"
city: "Krakow"
country: "Poland"

organiser: "ML in PL Association"
organiser_url: "https://mlss2026.mlinpl.org/"

b2b: true

vector:
  sector: [developer-ai]
  audience: [developer, practitioner]
  format: [conference]
  purpose: [education, networking]
  geography_scope: [European]
  season: summer

meta_description: "The Machine Learning Summer School on Reliability and Safety (MLSS R&S 2026) is a five-day intensive academic programme at Jagiellonian University in."
editorial_take: "MLSS formats are the most direct route to foundational ML safety knowledge from researchers actively building the field; the ELLIS affiliation and Krakow location position this as a serious academic event rather than a practitioner bootcamp."

generated_by: "generate_fiche_devai.py"
last_verified: "2026-05-18"
schema_version: "v6.0"
language: en
---

# MLSS on Reliability & Safety 2026

> *An intensive five-day academic summer school at Jagiellonian University in Krakow, running 29 June to 3 July 2026, offering PhD students and early-career researchers deep training in machine learning reliability, safety, and robustness through invited lectures from leading researchers, with ELLIS affiliation.*

---

## Quick Facts

| DATES | VENUE | ORGANISER | ATTENDANCE |
|---|---|---|---|
| 29 June-3 July 2026 | Jagiellonian University, Krakow | ML in PL Association | not disclosed |

## Definition

The Machine Learning Summer School on Reliability and Safety (MLSS R&S 2026) is a five-day intensive academic programme focused on the theory and practice of building reliable, safe, and robust machine learning systems. Organised by the ML in PL Association and affiliated with ELLIS (the European Laboratory for Learning and Intelligent Systems), the school is hosted at Jagiellonian University in Krakow, Poland. The primary audience is PhD students and early-career researchers in machine learning and AI. Registration fees apply: EUR 350 for academia, EUR 700 for non-academia.

## The 2026 edition: reliability and safety in Krakow

The school runs from 29 June to 3 July 2026. The opening day on 29 June is held at Collegium Novum, Jagiellonian University's historic main building. Subsequent days are held at the Faculty of Mathematics and Computer Science. The school features invited lectures from researchers working on ML reliability, adversarial robustness, uncertainty quantification, and AI safety. Early registration closed in March 2026 and late registration in April 2026; availability for late applicants is not confirmed as of verification.

## Who attends MLSS on Reliability and Safety

- PhD students in machine learning, AI, statistics, and computer science
- Early-career researchers and postdoctoral fellows in ML and AI
- ML engineers at research labs and industrial research teams with an academic background
- Master's students at advanced stage considering doctoral research in ML safety
- Academics from AI-adjacent disciplines engaging with ML reliability and safety questions

## What the MLSS format includes

- Invited lectures from leading ML researchers over five full days
- Focus on depth over breadth: each topic is covered across multiple sessions
- Academic cohort: participants selected through an application and review process
- Collegium Novum opening session followed by Faculty of Maths and CS sessions
- ELLIS network affiliation, with connections to European ML research community

## What the MLSS programme covers

- ML reliability: building models that perform consistently under distribution shift
- Adversarial robustness: defending against adversarial examples and attacks
- Uncertainty quantification: calibration, conformal prediction, and Bayesian approaches
- AI safety: alignment, specification, and evaluation of safe AI systems
- Fairness and bias in machine learning from a technical perspective
- Formal verification and certification of ML systems

## FAQ · Identity and audience

### What is MLSS on Reliability and Safety?
MLSS R&S 2026 is a five-day academic summer school at Jagiellonian University in Krakow, organised by the ML in PL Association. It is affiliated with ELLIS and focuses on ML reliability, safety, and robustness. The primary audience is PhD students and early-career researchers. Registration fees apply.

### What is ELLIS?
ELLIS (European Laboratory for Learning and Intelligent Systems) is a European AI research network comprising excellence centres across Europe, focused on advancing fundamental and applied machine learning research. ELLIS affiliation signals the academic quality of the school's invited faculty.

### What is the registration fee?
Academic attendees pay EUR 350 and non-academic attendees EUR 700 according to verified enrichment data. Early registration closed in March 2026 and late registration in April 2026; contact the organiser for any remaining availability.

### Is this event appropriate for industry practitioners?
The format is designed for academic researchers. Industry practitioners with a strong research background and interest in ML safety theory may find the content relevant, but the non-academic fee (EUR 700) and academic-oriented format reflect the primary audience.

### Who is MLSS NOT designed for?
Attendees unlikely to find the programme appropriate include:
- Practitioners without a research background seeking applied AI training
- Developers looking for tooling tutorials or implementation workshops
- Business leaders or product managers attending for AI strategy rather than technical depth
- Attendees not comfortable with a full-week, lecture-intensive academic format

## The venue: Jagiellonian University, Krakow

Jagiellonian University is Poland's oldest and most prestigious university, founded in 1364, and one of the leading research institutions in Central Europe. The main campus is in the historic Stare Miasto (Old Town) district of Krakow. Collegium Novum, the university's main administrative building at Golebia 24, hosts the opening day. The Faculty of Mathematics and Computer Science is located at Lojasiewicza 6 on the Kampus 600-lecia Odnowienia UJ. Krakow is accessible by air (John Paul II International Airport, served by Ryanair, Wizz Air, LOT, and others) and by rail from Warsaw (approximately 2.5 hours by express train).

## The organiser: ML in PL Association

ML in PL (Machine Learning in Poland) is a Polish non-profit association that promotes machine learning research in Poland and Central Europe. The organisation produces research events, summer schools, and the ML in PL Conference. MLSS R&S 2026 is one of its flagship academic events. The association works in partnership with the ELLIS network and Polish academic institutions. More information is at https://mlss2026.mlinpl.org/.

---

## Editorial take

*The combination of Jagiellonian University's research environment, the ELLIS network's faculty reach, and a specific thematic focus on reliability and safety rather than general ML produces a school with genuine depth that a broad AI conference cannot replicate.*

## How to register and what it costs

Registration fees are EUR 350 (academic) and EUR 700 (non-academic). Early registration closed in March 2026 and late registration in April 2026. For any remaining places, contact the organiser directly via https://mlss2026.mlinpl.org/. Admission is subject to application review.

## FAQ · Access and practicalities

### How do I get to Krakow?
Krakow John Paul II International Airport (KRK) is served by Ryanair, Wizz Air, LOT Polish Airlines, and other carriers from cities across Europe. A bus or taxi to the city centre takes approximately 20-30 minutes. Express trains from Warsaw take approximately 2.5 hours; Warsaw Chopin Airport has direct connections to European hubs.

### Where is Collegium Novum?
Collegium Novum is at Golebia 24, Krakow, in the Stare Miasto district, a 5-minute walk from the Main Market Square.

### Is the event residential?
The school is not explicitly described as residential, though Krakow has extensive accommodation options at various price points. Participants are responsible for their own accommodation.

## Resources

| Resource | URL |
|---|---|
| Official website | https://mlss2026.mlinpl.org/ |
| Register | https://mlss2026.mlinpl.org/ |
| Programme | not disclosed |

---

**Last verified:** 2026-05-18
**Next review:** 2026-06-17
**Notes:** Venue (Collegium Novum day 1, Faculty of Maths and CS days 2-5), registration fees (EUR 350 academia / EUR 700 non-academia), ELLIS affiliation, and registration timeline (early March, late April) confirmed from official website and l3 enrichment. Late registration likely closed as of verification date.
**Variables:** 29/58
**Concept definition:** not applicable
