Amita Sharma
Amita Sharma is an accomplished engineering manager at Red Hat, with an impressive 17-year career, including 11 years contributing to the dynamic projects at Red Hat. In her current role, she oversees the management of crucial components in RHOAI (Red Hat OpenShift Artificial Intelligence), focusing on Distributed Workloads and Data Science Pipeline, leading a global team of engineers.
Additionally, Amita takes on the responsibility of the DevOps RHOAI team, ensuring the smooth release of RHOAI. Her leadership reflects a strong commitment to excellence and efficiency.
Beyond her managerial role, Amita is a dedicated contributor to the open-source community. Since 2011, she has made a significant impact on the Fedora Project (https://fedoraproject.org/wiki/User:Amsharma), playing a key role in the Diversity, Equity, & Inclusion Team and serving as the Fedora Diversity Advisor. Amita has represented Fedora at global events such as Flock, FOSSASIA, FOSDEM, DevConf CZ, OSCAL, showcasing her passion for diversity, inclusion, and open-source culture. Amita Sharma is making a lasting impact in her multifaceted contributions to the tech world.
@ami117:matrix.org
Sessions
In the changing landscape of the AI era, where algorithms wield unprecedented influence across industries and societies, the imperative for Diversity, Equity, and Inclusion (DEI) becomes ever more pronounced. This talk embarks on a journey to explore the intersection of AI and DEI, delving into the multifaceted dimensions of this critical discourse.
As AI technologies increasingly permeate our daily lives, there is a pressing need to interrogate their impact on marginalized communities and underrepresented groups. We navigate through the complexities of AI bias, shedding light on how inherent biases in training data and algorithmic decision-making processes can perpetuate systemic inequalities and reinforce existing power dynamics.
However, amidst these challenges lie opportunities for transformative change. We uncover innovative approaches and best practices for fostering diversity in AI development teams, promoting equitable access to AI technologies, and centering inclusivity in algorithmic decision-making processes. From community-driven co-design methodologies to algorithmic auditing frameworks, we illuminate the pathways towards building AI systems that reflect the richness of human diversity and advance social justice objectives.
Through a synthesis of theoretical insights, empirical evidence, and real-world case studies, this talk seeks to inspire a paradigm shift in how we conceive and operationalize DEI in the AI era. By harnessing the power of AI as a force for positive social change, we can collectively chart a course towards a more equitable and inclusive future for all.
During the 2023 flock, our mentorship summit proved highly successful. We hosted a 1.5-hour "Panel Discussion" involving both mentors and mentees. The objective was clear: to nurture a culture of mentorship and align with the Fedora Project council's strategy of ensuring everyone has a mentor and is a mentor themselves.
Once again, for this upcoming mentorship summit, I propose a "Panel Discussion." Such discussions offer an excellent platform to delve into various mentorship-related topics.
Here are some suggested discussion points:
The Importance of Mentorship: Highlighting why mentorship is vital for all members of the community and its potential impact on Fedora or any open-source community.
Effective Mentorship Strategies: Exploring different approaches for establishing fruitful mentor-mentee relationships, including matching, goal-setting, and regular communication.
Mentoring through different mediums: Examining how technology has influenced mentorship programs, including virtual mentoring and online resources, along with their advantages and challenges.
Diversity and Inclusion in Mentorship: Emphasizing the significance of diversity and inclusion in mentorship and strategies for promoting them within programs.
Mentorship Goals: Discussing the expected outcomes of mentorship, such as aiding mentees in community understanding, network-building, and skill development.
Mentorship Metrics and Evaluation: Exploring methods for measuring the effectiveness of mentorship programs and assessing their impact.
Mentorship Beyond the Community: Considering opportunities for mentorship outside the Fedora community and the benefits of extending mentorship initiatives.
Overcoming Challenges in Mentorship: Addressing common obstacles in mentorship relationships and proposing strategies to overcome them.
Encouraging Participation in Mentorship: Discussing ways in which existing mentors and mentees can inspire other community members to engage in mentorship programs.