Clarissa Rodrigues is graduated by University of Vale dos Sinos (UNISINOS), specialist in Software Engineering by Federal University of Rio Grande do Sul (UFRGS) and master student in Applied Computing by UNISINOS. With more than 10 years of IT experience, she has been working in different roles and companies, such as a Business Analyst at SISPRO, ADP, SAP and most current Technical Quality & Program Manager at Uber. On her journey, she has been advocated for quality inside QAs work to make sure goods and services are designed, developed, and made to meet or exceed customers’ expectations and requirements.
Description:
Do you understand AI well enough to spot a lie?
I will dive into the fascinating world of artificial intelligence and machine learning, focusing on how bias can infiltrate AI models. Attendees will explore real-world examples of biased AI decisions, learn how machine learning models can "lie," and discuss the ethical challenges this poses. Through case studies like COMPAS and image classification failures, we’ll uncover how biased data can lead to problematic outputs. By the end of the session, attendees will gain practical strategies to identify, prevent, and mitigate AI bias in their own work.
Takeaways:
Understanding AI and Bias through real-life case studies
Ethical Concerns and Practical solutions
Future of looking ahead
Description:
QAs work to make sure goods and services are designed, Description: developed, and made to meet or exceed consumers’ expectations and requirements. But, isn’t UX doing the same? Having the users in mind is what connects these areas to build better products.
A fantastic User Experience is what makes the difference when customers choose between one product or another. Considering that, it only makes sense that QAs and UXrs join forces and help build great experiences from their own perspectives. Why not have a system that considers the best of both worlds?
As you’d know, the saying that “good design is obvious” is a tale as old as time. As Steve Krug once said, “Your goal should be for each page or screen to be self-evident, so that just by looking at it the average user can say “I get it.” - Steve Krug.
Takeaways:
How to create effective visual hierarchies
How to don’t reinvent the wheel
How to nor we allow personal feelings to take over the process and how ask the right questions