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Sarah Bitamazire: Leading AI Advocacy and Education at Lumiera

Sarah Bitamazire
Sarah Bitamazire

Sarah Bitamazire is the chief policy officer at Lumiera, a small advisory firm. She helps write Lumiera Loop, a newsletter that teaches people about AI and how to use it responsibly. Before this, she worked in Sweden, advising on gender equality, foreign affairs, and security policies.

Sarah’s journey into AI began organically through her work, where she witnessed its growing impact across diverse sectors. Recognizing the need to understand AI’s challenges and potentials deeply, she immersed herself in its applications in defense, security, arts, and culture. This experience underscored her belief in AI’s transformative power and the necessity of informed decision-making at all levels.

One of Sarah’s proudest achievements in AI involved successfully integrating AI into a client’s research and development processes at Lumiera. Through a tailored strategy and robust change management, they overcame previous setbacks, demonstrating AI’s value with multidisciplinary leadership support.

Sarah Bitamazire

Sarah Bitamazire

Navigating the male-dominated tech and AI industries, Sarah emphasizes clarity of purpose and the importance of collaboration. She believes in the necessity of diverse perspectives to tackle the industry’s complexities and advocate for responsible AI practices universally.

For women aspiring to enter AI, Sarah suggests treating it as a skill set to be learned and applied to solve specific problems. Continuous learning and connecting with inspirational figures are crucial to staying engaged and informed in the rapidly evolving field.

Regarding pressing issues in AI, Sarah highlights concerns such as AI hardware geopolitics, benchmarking accuracy, automation balance, and data governance. She stresses the need for critical thinking and ethical considerations in AI usage, underscoring the importance of education and diverse perspectives in its development and deployment.

Investors, Sarah advises, can promote responsible AI by scrutinizing indicators of ethical leadership and policies within AI-driven ventures. This approach ensures sustainable investments that mitigate risks associated with trust, regulation, and privacy, thereby fostering a more ethical AI landscape through informed decision-making and strategic divestment from unethical practices.

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