SeaStar Quality Conference 2023

You have a unique opportunity to attend a highly acclaimed university level course lectures, given by Prof. Robert Sabourin to McGill University students.

The lectures will be aired to the students online in real time; conference attendees can join and have a follow up Q&A with Prof. Sabourin at the conference.

The lectures are open to all conference attendees.

Software Engineering in Practice

A lecture from the course ECSE 428 Software Engineering in Practice: 11:30am - 2:30pm

Software engineering practice in industry, related to the design and commissioning of large software systems. Ethical, social, economic, safety and legal issues. Metrics, project management, costing, marketing, control, standards, CASE tools and bugs. The course involves a large team project.

Rob will deliver a 45 minute lecture on a topic in software engineering followed by an interview with a software development professional about their development process.

This is a live lecture from a university level course in Software Engineering.

You have a unique opportunity to attend a highly acclaimed university level course lectures, given by Prof. Robert Sabourin to McGill University students.

The lectures will be aired to the students online in real time; conference attendees can join and have a follow up Q&A with Prof. Sabourin.

Software Validation

A lecture from the course ECSE 429 Software Validation: 6:00pm - 9:00 pm

Correct and complete implementation of software requirements. Verification and validation lifecycle. Requirements analysis, model based analysis, and design analysis. Unit and system testing, performance, risk management, software reuse.

Rob will deliver a 90 minute lecture on a topic in software testing focused on a specific test design technique.

This is a live lecture from a university level course in Software Validation.
The lecture will also be streamed online and included with the online conference ticket.

The testing profession, and software development in general, appear to be moving away from good testing. Replacing critical-thinking, creativity, reasoning, and customer representation with fairly simplistic automated checks. This will likely lead to some pretty major disasters. It is not too late to change the direction we are heading, but it will likely only happen after some catastrophic failures.

In this talk, Paul will talk about some of the directions and trends he has seen in his 27 year career; where the industry is now and where it appears to be heading.The good news is that there appears to be a multi-year cycle of good testing being demanded by companies. The bad news is that we appear to be approaching the farthest distance he has seen from good testing.

There have been many trends in the past, some good, most bad. The bad ones appear to have been primarily caused by companies selling testing tools and services. The good ones typically by companies that are looking to make positive changes. Paul will cover some of the historical trends that he has been involved with and how the current trends compare to old trends.

Automation is good and can be great. It is needed for CI/CD and the ability to move quickly with software releases but it can go too far. Deceitful marketing from testing industry vendors have been fooling naive decision makers for decades. It’s time that we had more voices standing up for better testing.

Paul will talk discuss some fairly simple changes to the current drive to CI/CD and the unrelenting push to “automate everything” would allow testing to become much more effective and impactful without going back to having humans do all the testing.

The session will also be streamed online and included with the online conference ticket.

“Let’s get a new tool, it will solve our problem” – when I hear this, I cringe. I love tools, but a lot of times as humans we tend to overengineer, oversolutionize, and overcomplicate our situations with too quick solutioning. Do we even understand the problem well enough?

As a quality analyst, I often ask questions that may be uncomfortable: it’s much easier to try to add a band-aid on a wound than to reflect on how to prevent it altogether. However, it’s necessary. Do not despair, though, I have some good news! It’s… reasonably simple.

In this talk, I’ll share what thoughts we could take from minimalism, and apply them in the exciting tech world. I’ll remind you of some valuable techniques for better efficiency, and, hopefully, inspire you to simplify your work ways.

Key Takeaways

1. Tools are just helpers: they should not be the main actors in our work. As Agile Manifesto states, "Individuals and interactions over processes and tools" (we'll also refresh the Agile Manifesto ideas in this talk).
2. The '5 Whys' technique is very helpful to find the root causes of the issues.
3. Less is more: why that's a golden rule when it comes to tech as well.


The session will also be streamed online and included with the online conference ticket.

With great power comes great responsibility. As we progressed up the career ladder and started managing bigger projects, we realized that it was a whole new ballgame. All aspects of the project were of great value - the budget, the resources, the gains, the losses, the risks, the constraints, and so on. Our experience handling multiple smaller projects helped to a large extent, but we felt lost when taking on complex projects. The definition of high value projects is contextual and differs from organization to organization. This talk will begin with Mili and Ajay sharing examples of high-value projects, highlight the intricacies of projects across systems, teams, departments, budgets, and time constraints, and conclude with tips and tricks to overcome known and unknown challenges.

The session will also be streamed online and included with the online conference ticket.

“It’s not the strongest of the species that survive, nor the most intelligent, but the one most adaptable to change.” ~ Charles Darwin

The most critical step in Continuous Delivery adoption is identifying the bottlenecks in the product development cycle. In this session, you will learn about tools and methods that facilitate bottleneck discovery as well as ways to deal with the most common bottlenecks that cripple the development process. It will cover 10 steps that will help any company to get on the path towards the coveted Continuous Delivery.

Community of Practice (CoP) is no longer an alien term for professionals in the software field. CoPs matter because they facilitate knowledge sharing, problem-solving, skill development, innovation, and collaboration, all of which contribute to individual and organizational success in today's dynamic and knowledge-driven world. As fascinating and exciting CoP may sound, setting up one and leading it towards success is altogether a different game.

While leading Communities of Practice can be quite rewarding, it does not come without any hurdles and obstacles. But don’t you worry! With over eight years of hands-on experience in leading Testing CoP and over 15 years of experience in the software testing + quality management field, Lalit would share his lessons learned whilst doing it all. 

In this talk, Lalit will share experience-based insights on how to - 

• Set Clear Goals: Setting precise objectives for CoPs that align with organizational goals.
• Measure Success: Developing criteria to gauge the impact of CoPs on testing practices.
• Lead by Example: The power of practical experience and hands-on involvement.
• Develop People Skills: Navigating interpersonal dynamics and fostering a collaborative community.
• Create Global Connection: Expanding CoP horizons through external collaborations.
• Find Balanced Approach: Harmonizing grassroots efforts with top-level support.
• Ensure Sustainable Motivation: Keeping members engaged without making unrealistic promises.
• Embrace Passion-Driven Leadership: Embracing passion as a driving force in community leadership.

Join Lalit on this insightful journey to master the art of leading Testing CoPs. Whether you're a seasoned leader or aspiring to take the reins, this talk offers practical wisdom for success.

As Web 3.0 ushers in a new era of decentralized, interconnected, and intelligent internet applications, the role of testers evolves to meet the demands of this cutting-edge technology. This presentation explores the essential skills and competencies that testers must possess to navigate the complexities of Web 3.0.

From blockchain integration and smart contracts to decentralized applications (DApps) and AI-driven testing, this session delves into the skill set required to ensure the reliability, security, and quality of Web 3.0 ecosystems.

Join us to discover how testers can adapt and thrive in this transformative era of the internet, testing Web 3.0. 

The session will also be streamed online and included with the online conference ticket.

Scott Aziz, CTO of AgileAI Labs, Inc., presents a crucial talk for professionals keen on navigating through the intricacies of the Software Development Life Cycle (SDLC). In this session, Scott will introduce you to significant paradigm shifts in software development methodologies, emphasizing the techniques that are simplifying and enhancing the SDLC. This talk is invaluable for attendees as it offers insights into balancing the need for swift software delivery while ensuring the clarity and alignment of requirements, a challenge many Agile teams commonly face.
Scott will delineate a holistic approach to requirements analysis incorporating the INVEST, SMART, and REAL categories, illustrating the power of AI in reshaping how teams analyze and respond to requirements. You’ll gain an understanding of defect prevention strategies that are not only cost-effective but integral to sustaining long-term software quality. Furthermore, Scott will elaborate on translating requirements seamlessly into test assets and generating security tests automatically, underscoring the imperative of security considerations from the outset of the development process. The talk concludes with insights into AI-assisted test case generation and the role of automated testing frameworks, providing practical knowledge and tools for professionals looking to enhance their software's robustness, security, and delivery speed. For attendees, this is an opportunity to garner practical insights and strategies that can be immediately implemented, providing tangible improvements in Agile team productivity and software delivery quality.

At the heart of exploratory testing is the charter. Charters should guide our testing and help us focus our exploration on what's most important and impactful. Unlike scripts generated for test cases, there's an art to crafting charters. Charters help us avoid the dragon of wasteful testing or getting lost in the labyrinth of distraction to help us reach the treasure chest of good enough quality. We'll discuss adventuring our way through heuristics, assembling our party (personas), side quests to encourage exploration, navigating your way through a test session, and using your compass to help you get back on track.


The session will also be streamed online and included with the online conference ticket.

People want to know about coverage--code coverage, feature coverage, coverage percentages, coverage gaps--but coverage simply isn't good enough. Coverage can't tell you anything about the user experience, or the most important pieces to test. In fact, a 100% coverage score can't tell you anything qualitative about the quality of your product.

We have 5 different tools for testing web browsers, but the average QA team still can’t tell management precisely how their tests help to manage risk! Low-code test solutions exist by the dozen, but have failed to make a dent in the fundamental problems of test creation!

This talk is about the Great Unsolved Problems of test, and how we’ve long been chasing the wrong goals with the wrong tools. There's a vast ocean of insights sitting there waiting to tell us their stories and make our lives better. How can we continue to ignore it?


The session will also be streamed online and included with the online conference ticket.

"Beyond Boundaries: Pioneering the Future of QA Testing with Generative AI Integration"

• Understand the potential of Generative AI in QA testing and how it can amplify tester capabilities.
• Gain insights into the evolving role of QA testers in a technology-empowered world.
• Discover ethical considerations and best practices for integrating Generative AI responsibly.
• Learn how to embrace change and upskill to remain at the forefront of the future of work.

Audience Engagement:
Throughout the keynote, real-life cases and thought-provoking questions will keep the audience engaged and eager to explore the world of Generative AI and QA testing. Participants will leave with a fresh perspective on their profession and armed with knowledge to thrive in the dynamic landscape of the future of work.
Join us for this visionary keynote presentation as we embark on a transformative journey into the future of QA testing, driven by the seamless integration of Generative AI. Together, we'll forge a path towards unparalleled success and innovation.

Lalit Bhamare: "The Concepts of QCSD framework (Quality-conscious software delivery)"
Today, many organisations are pro-Agile and operate on multi-technology platforms. That warrants every member of a team to understand and to be able to contribute to product quality, beyond the traditional way. To build quality products and deliver them on time without compromising on quality, it is important to understand the notions of quality and the relationship between them.
After some years of research and experimentation, Lalit has developed his award-winning framework called QCSD – Quality Conscious Software Delivery. He believes that investing in testing education for the whole team, practicing testing as a team, and using that learning to foster the quality mindset, enabling people and processes to support quality work at every stage is the way to go forward.

Robert Sabourin:  "Just in Time (JIT) Testing"
Turbulent development projects experience requirements change almost daily. How do you keep your testing effort on track while reacting to fast-changing priorities, technologies and user needs? Robert Sabourin, an expert in software testing, provides effective techniques to manage and track software testing in chaotic environments. This talk focuses on “Just-in-Time Testing,” a powerful process that boosts real-world projects ranging from commercial off-the-shelf (COTS) applications to agile, iterative and waterfall enterprise methodologies.

Ajay Balamurugadas: "Quality Matters: Adding Value in the Digital Transformation Journey"
In today's rapidly evolving digital landscape, digital transformation has become a necessary and widespread phenomenon. Organizations are constantly striving to adapt to the digital era and deliver high-quality products and services to their customers. However, ensuring quality in the midst of this transformation is not a simple task.
To navigate the challenges of digital transformation, it is crucial to focus on the fundamentals. One must recognize that at the core of every digital endeavor lies a people problem. Understanding the needs, motivations, and expectations of all stakeholders is essential for successful transformation. By acknowledging the human element, we can address the challenges and intricacies that arise throughout the process.
Learning the art of testing is paramount in the pursuit of quality in a digital transformation journey. One must develop and hone the skills necessary to systematically build models for software testing. These skills encompass various domains, including questioning, technology, business, testing, programming, and company processes. By mastering these key competencies, testers can contribute significantly to the value delivered through digital transformation initiatives.
Adding value should be a guiding principle in every task undertaken during the digital transformation process. By constantly seeking opportunities to enhance the products and services provided, individuals can make a meaningful impact on the overall transformation journey. Whether it's streamlining processes, improving user experiences, or optimizing efficiency, adding value should be the driving force behind every decision made.
In conclusion, digital transformation is an imperative that organizations must embrace to stay relevant in today's digital age. However, ensuring quality throughout this journey is a complex task that requires a focus on the fundamentals, an understanding of the people involved, and the acquisition of crucial testing skills. By consistently adding value in every task, we can maximize the impact of digital transformation and deliver exceptional outcomes for all stakeholders involved.

"The Quality Assurance Engineers Odyssey - The Newfound Fundamental Knowledge in the Modern Digital Transformation"
Nowadays, digital transformation in organizations is escalating rapidly,
continuously, and explosively, with new technologies that put more pressure on
software delivery teams.
The Quality Assurance Engineers (QAE) or Software Developer in Test (SDET) plays
an essential role in digital transformation but should adapt to the changing (and
challenging) landscape of the new technologies, and processes in the SDLC and
STLC.
This paper refers to the QAE/SDET Odyssey as the journey or career path, where
we describe the challenges to growing our skills on the actual modern digital
transformation.
We will dissect a QAE/SDET job profile to detect what currently the organizations
are looking for on the shifting priorities of Quality Assurance practices having as
aiming for the most important emerging trends, tools, technologies, or processes.
● Agile environments
● Automation Testing for Web apps and Android Mobile apps covering
different layers such as Unit testing, UI, and Web Services
● Scripting in a programming language
● Testing tools such as Cypress
● Automation POM as a design pattern
● Development and Deployment under DevOps Model
● Cloud platform tools

It's Tricky: Chatbots & QA

In 2016, as part of a survey run by Oracle regarding tech trends, over 80% of businesses answered that they already have or will implement a chatbot by 2020. Now it's 2023 and we definitely see automating messaging solutions in our daily life. More and more businesses are experimenting with chatbots, especially when it comes to customer-facing services. However, with chatbots comes a huge amount of uncertainty: how do we actually make sure we build good chatbots? How can we test them?

Working with a chatbot as a QA, I felt like the traditional methods of testing do not apply as well in this new area. It made me do a lot of research, experiment, and, even build my own chatbot to explore the topic more. What should we think about when we build chatbots? How can we as QAs help to ensure the quality of a chatbot? In the end, what is a high quality chatbot? Join me in my session on Chatbots & QA to find out more about my learnings and get ready for the future.

Industries can now quickly develop IoT solutions that connect things, collect data, and derive knowledge. This directly leads to reduced costs, productivity increase and increased revenue. Almost all industries have been utilizing IoT and this has changed the customer experience extensively. As an example, in the automotive industry, the cars are tied to IoT, and this has turned data into actionable insights. The data comes from both inside the cars as well as from the outside world. Collaborating with fields like AI, Data analytics and cloud, autonomous driving has turned drivers into passengers, thus opening a huge opportunity for new goods and services. Since IoT can make a difference between life and deaths, like driverless cars or healthcare, the testing has never become so challenging. IoT produces a Variety of data and in huge volumes, and the first biggest challenge lies here. Enterprises find it quite challenging owing to these factors. Add to these external factors like heterogeneous environments and complexity in the working of a number of components and testing becomes more difficult. Due to large-scale IoTsystems and connected devices, enterprises also find it difficult to develop, deploy, integrate and scale applications.

Other Issues before testers

1. Testing across various cloud platforms
2. IoT data protocols testing
3. Security threats
4. No Standardization — lack of standard testing procedures at all levels.
5. Dynamic environments Solutions:

Solution explained:

1. Protocol and device interoperability testing – tests performed across different standards and specifications
2. Security and privacy testing
3. Network Impact – Testing Real IoT application in a real network, with factors like Network size, topology and environment Conditions
4. Performance testing – load testing and 4V testing
5. End User application testing – Usability and user experience

George will give an overview on synthetic data and AI / ML learning models. Followed by reviewing a successful case study in which synthetic data was used for testing RFM. (Recency Frequency and Monetary) between a credit card company and a grocery store.

In the rapidly evolving landscape of Machine Learning (ML), ensuring model accuracy is paramount as AI/ML becomes accessible to all. Achieving a high level of precision and reliability requires the harmonious collaboration of several key stakeholders within the ML ecosystem. This topic delves into the critical roles that individuals play in ensuring the correctness of ML models, focusing on the responsibilities of data scientists, testers, and more. By understanding the unique contributions of each role, organizations can harness the power of synergy to build ML models that are both accurate and trustworthy.
 
This talk will not only enrich our understanding of AI and our roles within it but also provide a unique perspective on the bridge between the technical and the practical, making it a must-attend event for all.

In this talk, we'll explore how AI serves as both a valuable helper and intriguing frenemy in achieving superior software quality.

We will delve into specific AI tools, such as machine learning, natural language processing, and deep learning, that are revolutionizing testing processes. Experience firsthand how these tools automate tasks and detect defects with unparalleled accuracy, empowering you to ensure robust software quality.

Furthermore, we will uncover the potential of AI by integrating it into your testing processes and framework. Gain practical guidance, tips, and strategies to harness the power of AI and propel software quality to new heights. Discover readily available tools that require minimal tuning, as well as learn how to build your own custom tools tailored to your specific needs.

We will also address the transformative impact of AI on the software testing profession. Will AI render traditional quality assurance obsolete, or will it redefine the role and make it even more valuable? We will explore the potential challenges and risks associated with AI adoption, ensuring a comprehensive understanding of the changes it brings to our profession.

The session will also be streamed online and included with the online conference ticket.

In this engaging talk, we will delve into the journey of building, testing, and deploying a web app while examining the capabilities and limitations of ChatGPT-4 in web development. Through the lens of this comprehensive process, we will explore how AI-driven development techniques can contribute to a more efficient workflow and discuss the challenges that may arise. Attendees will gain a deeper understanding of how to effectively incorporate ChatGPT-4 into their projects, focusing on striking the right balance between automation and manual efforts. Join us as we navigate the ever-evolving landscape of web development and investigate the role of AI in shaping our development strategies.


The session will also be streamed online and included with the online conference ticket.

Testers are supposed to be good at finding problems. Yet, there are many fawning, drooling, swirly-eyed demos and articles about how AI, and ChatGPT in particular, will revolutionize testing. These are often promoted by people who claim to be testers.

Although AI can do some impressive things, there is no basis to say that AI-based tools will revolutionize testing. The people who say that have no evidence or argument that it will. They are just kids getting excited about new toys.

Still, we have to be ready. We have to know enough about AI to be credible in conversations and debates about it. In this talk, I will lay out how to think critically about AI as a test tool. I will describe some of my experiments, and some of my reviews of other people's demos. I will also imagine how AI might be useful to testers, either now or in the future.

Executive leaders across the globe have been asking a relatively simple yet profound question: Can we leverage generative AI to transform our business, enterprise, or industry? For software-based companies, focus has either been on differentiating their product and service offerings using this new technology, or leveraging it to improve productivity and efficiency within the organization. But what is the impact of generative AI on software team productivity and efficiency? How do you measure its success? Tools like ChatGPT and GitHub Copilot now allow developers to produce code much faster and on-demand, in almost any programming language. But does automatic code generation present more of a problem than a solution in companies that already have codebases that are difficult to maintain? Can product management, quality assurance, testing, security, and operations all keep up with the rapid pace of development and increased expectations of the business? Join Tariq King as he dives into the complex issue of leveraging generative AI to improve software productivity. Tariq will separate generative AI hype from its potential for hyper-acceleration within the software industry.


Speaker Bio:
Tariq King is the Vice President of Product-Service Systems at EPAM, where he manages a portfolio that lies at the intersection of software products and services, and supports the business through technology consulting. He has over 15 years' experience in software engineering and testing and has formerly held positions as Chief Scientist, Head of Quality, Director of Quality Engineering, Manager of Software Engineering and Test Architect. Tariq holds Ph.D. and M.S. degrees in Computer Science from Florida International University, and a B.S. in Computer Science from Florida Tech. His areas of research are software testing, artificial intelligence, autonomic and cloud computing, model-driven engineering, and computer science education. He has published over 40 research articles in peer-reviewed IEEE and ACM journals, conferences, and workshops, and has been an international keynote speaker at leading software conferences in industry and academia.

Description: In an era where technology permeates every aspect of our lives, the demand for robust and efficient software has never been greater. Machine Learning (ML) has emerged as a powerful tool for enhancing software testing processes, promising to revolutionize the way we ensure software quality and reliability.
Join us for an engaging panel discussion as we delve into the fascinating world of ML models for software testing. Our distinguished panel of experts, each a luminary in their respective fields, will shed light on the cutting-edge applications, challenges, and advantages of integrating ML into the testing ecosystem.
Key Discussion Points:

1. AI and ML in Software Testing: Explore the role of Artificial Intelligence (AI) and Machine Learning (ML) in reshaping traditional testing methodologies.
2. Test Automation: Discuss how ML models are transforming test automation, making it more adaptive, efficient, and accurate.
3. Predictive Analysis: Learn about ML's capacity to predict potential defects, vulnerabilities, and performance bottlenecks.
4. Optimizing Test Coverage: Discover how ML helps in optimizing test coverage and identifying high-impact test cases.
5. Data-Driven Testing: Explore the significance of data-driven testing and how ML harnesses big data to drive testing strategies.
6. Challenges and Pitfalls: Examine the challenges and potential pitfalls associated with integrating ML into software testing processes.
7. Real-World Applications: Hear real-world examples of organizations leveraging ML models for enhanced software testing.
8. Future Trends: Gain insights into the future trends and possibilities of ML in the context of software testing.

Who Should Attend:

• Software Testers
• Quality Assurance Professionals
• Data Scientists
• AI/ML Enthusiasts
• Tech Leaders and Decision-Makers

Join us for this enlightening panel discussion where you'll have the opportunity to interact with our panelists, ask questions, and gain a deeper understanding of how ML models are shaping the future of software testing. Whether you're a seasoned professional or just beginning your journey in this field, this discussion promises to provide valuable insights into the exciting intersection of machine learning and software quality assurance.

Defining Principles of Collaborating with AI Without Compromising Quality and Integrity

Overview: In today's rapidly evolving technological landscape, the collaboration between humans and Artificial Intelligence (AI) is becoming increasingly prevalent. The integration of AI in various domains presents both opportunities and challenges, especially when it comes to maintaining the highest standards of quality and integrity.
This interactive workshop is designed to bring together professionals, experts, and enthusiasts to explore, define, and establish a set of guiding principles for effective collaboration with AI while upholding the core values of quality and integrity.
Workshop Objectives:

1. Define Core Principles: Collaboratively establish a framework of principles that should underpin any collaboration with AI, ensuring the preservation of quality and integrity in all endeavors.
2. Case Studies: Analyze case studies that highlight both successful and unsuccessful AI collaborations to draw lessons and insights. Several Experience Reports are included in the conference program.
3. Interactive Discussion: Engage in open and insightful discussions with fellow participants, experts, and facilitators to gain diverse perspectives on the subject.
4. Practical Applications: Explore practical applications of the defined principles in various industries and scenarios, considering the unique challenges each may present.
5. Group Exercises: Participate in group exercises and brainstorming sessions to develop practical strategies for applying the principles in real-world situations.

Who Should Attend:

• AI Researchers and Developers
• Quality Assurance Professionals
• Data Scientists
• Ethical AI Enthusiasts
• Business Leaders and Decision-Makers
• Policy Makers and Regulators

Key Discussion Areas:

1. Transparency and Accountability: Explore ways to ensure transparency and accountability in AI collaborations to maintain integrity.
2. Bias and Results Invalidation Mitigation: Strategies to identify and mitigate biases and invalid outcomes in AI systems to ensure fair outcomes, and how to identify and validate the hallucinations in GenAI.
3. Data Ethics: Discuss the ethical handling of data in AI collaborations and its impact on quality.
4. Human-AI Interaction: Define guidelines for effective communication and interaction between humans and AI.
5. Continuous Evaluation: Discuss the importance of ongoing evaluation and adaptation to maintain quality standards.

Outcome: By the end of this workshop, participants will have collectively crafted a set of principles that can serve as a foundation for ethical, high-quality collaborations with AI. This collaborative effort aims to provide valuable insights and guidelines for individuals and organizations looking to harness the power of AI while upholding essential values of quality and integrity in their work.

The set of principles will be transformed into the Manifesto through the community collaboration efforts.

Join us in this workshop to be a part of the conversation shaping the future of AI collaboration. Together, we can define a roadmap that ensures that quality and integrity remain at the forefront of AI-collaboration endeavors.

MESSAGE TO ALL ATTENDEES:

To contribute to the Manifesto on "Collaboration with AI without compromising quality and integrity", follow these steps:

1. Register for Live Streaming:
   • Sign up for the live streaming of the conference, particularly the program on October 18th, which focuses on AI collaboration experience reports.
2. Participate in the Workshop (October 18th):
   • Attend the workshop on October 18th where the principles of collaboration with AI will be discussed among conference speakers.
   • You have the option to either listen to the discussions or actively join the online group to participate in the conversation.
3. Collaborative Drafting (October 19th – November 19th):
   • Following the workshop, there will be a collaborative effort to draft the initial set of principles for collaboration with AI without compromising quality and integrity.
   • Attend trials and contribute your insights during this period to help refine and finalize the manifesto.
4. Manifesto Publication (November 20th):
   • The Manifesto, which will incorporate the collective efforts and insights of contributors like yourself, is scheduled to be published on November 20th.
   • By actively participating in the process, you will be officially recognized as a contributor to the Manifesto.

Your involvement in these steps will not only help shape the Manifesto but also ensure that your valuable insights and perspectives are included in this collaborative effort to define principles for AI collaboration that prioritize quality and integrity.