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Wednesday, October 18 • 12:00 - 14:00
Define Principles of Collaborating with AI without Compromising Quality and Create Manifesto

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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.


Speakers
avatar for Preethi Ramesh

Preethi Ramesh

Associate Director of Data Science & Analytics, Takeda
Preethi is an accomplished professional with a distinguished background in the field of AI/ML, holding Bachelor's and Master's degrees in Computer Science, complemented by a second Master's degree in Business Administration. With over 13 years of hands-on experience, Preethi has skillfully... Read More →
avatar for Robert Sabourin

Robert Sabourin

Principal Consultant, AmiBug.com
Robert Sabourin has more than forty years of management experience,leading teams of software development professionals. A well-respectedmember of the software engineering community, Robert has managed,trained, mentored, and coached thousands of top professionals in thefield. He frequently... Read More →
avatar for Lalitkumar Bhamare

Lalitkumar Bhamare

Tech Arc Manager, Accenture Song
Lalit is currently working as Technical Arch Manager with Accenture Song, in Germany. For the last 14 years, he is working as a test engineering and s/w quality leader. He has been working in various aspects of quality engineering right from the spread left to production telemetry.Lalit's... Read More →
avatar for Marcus Merrell

Marcus Merrell

Senior Director of Technology Strategy, Sause Labs
Marcus Merrell is Senior Director of Technology Strategy at Sauce Labs, where he uses experience from 20+ years in test to manage strategic technical alliances. Within the CTO Office, Marcus works with partners to build robust, customer-centric solutions around test automation, release management, and the entire SDLC. He started using Selenium/WebDriver... Read More →
avatar for Ajay Balamurugadas

Ajay Balamurugadas

Senior Director - QE, GSPANN Technologies
Ajay Balamurugadas, goes by the handle ‘ajay184f’ in the testing community and is continuously re-inventing his testing methodology. He co-founded Weekend Testing – a worldwide movement for skilled testing authored six small books under the theme “What If” downloadable at... Read More →
avatar for Paul Holland

Paul Holland

Principal Consultant, PLATO Testing
With more than twenty-eight years’ experience in software testing, Paul Holland is a Principal Consultant at PLATO Testing. Previously, he spent four years as a senior director at Medidata Solutions, two years as head of testing at a small consultancy, two years as the principal... Read More →
avatar for Tanya Kravtsov

Tanya Kravtsov

Head of Quality Assurance, Audible
Experienced Leader with a demonstrated history of working in the technology and financial industries. Strong Quality Assurance and DevOps professional passionate about quality, process automation and delivery life cycle optimization with extensive experience building and training... Read More →
avatar for Iryna Suprun

Iryna Suprun

Principal Software Quality Engineer, Microsoft
Iryna has 18 years of overall experience in the software industry, 16 of them in testing, developing, and implementing quality assurance processes, testing strategies, and building automation frameworks. She spent most of her career working with various real-time processing systems... Read More →
avatar for Eugene Kurilenko

Eugene Kurilenko

QA, Paybis LTD
My name is Eugene Kurilenko, a seasoned veteran in the field of software testing with over a decade of hands-on experience. Over the years, I have left my mark on over 30 successful projects, ensuring their quality and efficacy. Recently, my focus has pivoted towards Web3 domain projects... Read More →
avatar for Nikolay Advolodkin

Nikolay Advolodkin

Sr Developer Advocate, Sauce Labs
Nikolay Advolodkin is a distinguished software development and test automation expert, acclaimed international speaker, and AI explorer, currently serving as a Principal Developer Advocate at Sauce Labs and Founder of UltimateQA. With an unquenchable thirst for technology and a deep-seated... Read More →
avatar for Scott Aziz

Scott Aziz

CTO, AgileAI Labs


Wednesday October 18, 2023 12:00 - 14:00 EDT
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