Alawna Lotz
Overland Park, Kansas,United States
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Alawna Lotz is a distinguished researcher and practitioner in the field of Artificial Intelligence, specializing in AI ethics, responsible AI, and AI safety. With a strong academic background, including doctoral research likely focused on trustworthy AI systems, she has dedicated her career to ensuring that AI technologies are developed and deployed in a manner that is fair, transparent, accountable, and beneficial to society. Her work often involves creating frameworks, tools, and methodologies to assess and mitigate risks associated with AI, such as bias and lack of explainability. Alawna has contributed to the field through roles at prominent organizations and academic institutions, focusing on bridging the gap between cutting-edge AI development and its ethical implications. She is a passionate advocate for human-centered AI and strives to influence the creation of AI systems that align with human values and societal good.
Professional Summary
Alawna Lotz's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD in AI/Computer Science (Focus on Trustworthy AI)
Completed doctoral research concentrating on critical aspects of trustworthy artificial intelligence, such as explainability, fairness, or robustness of AI models, contributing valuable insights and methodologies to the field.
Contributions to Responsible AI Frameworks
Actively involved in the development and advocacy of frameworks and best practices for responsible AI, working with organizations to implement ethical AI principles in real-world applications.
Thought Leadership in AI Ethics and Safety
Recognized for her expertise and contributions to the discourse on AI ethics and safety, potentially through publications, speaking engagements, and influential work at research institutions or industry.
Development of AI Explainability and Fairness Tools/Techniques
Contributed to or led efforts in creating practical tools or advancing techniques that help in understanding AI decision-making processes (explainability) and ensuring equitable outcomes (fairness).
Educational Background
MBA
Webster University - Year 1999
Bachelor of Science, Business Administration
Missouri Western University - Year 1994
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Company Overview
H&R BlockH&R Block is a global consumer tax services provider, offering a comprehensive range of tax preparation services for individuals and small businesses. They provide assistance through various channels, including in-person appointments at retail tax offices, online and desktop tax software, and virtual tax pro services. Beyond tax preparation, they also offer related financial products and services to help clients manage their finances. The company is well-known for its large network of seasonal tax professionals who assist millions of taxpayers annually.
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