Title: Google's "Don't be evil" Moto Evolves to Embrace Ethics in the AI Age


In a recent interview with 60 Minutes, Google CEO Sundar Pichai shed light on how the company's iconic motto, "Don't be evil," has evolved to encompass the complex landscape of Artificial Intelligence (AI) ethics. Pichai emphasized that while the motto still underpins Google's values, it has expanded to include a more nuanced approach in aligning AI development with ethical principles. The conversation provided insights into how Google, a leading player in the AI industry, is prioritizing responsible AI development.

Expanding Google's Founding Motto:

Originally coined by Google's founders, Larry Page and Sergey Brin, the "Don't be evil" motto became synonymous with the company's commitment to upholding moral and ethical standards. However, in recent years, as AI technology has become increasingly powerful and influential, Google recognized the need to define a more comprehensive approach to reflect the evolving challenges and ethical considerations.

Maintaining Ethical Standards in AI Development:

During the interview, Pichai stressed Google's commitment to ensuring AI is developed ethically. He acknowledged the importance of maintaining user trust in AI and emphasized the company's focus on three key principles: fairness, avoiding bias, and interpretability.

1. Fairness: Google aims to design AI algorithms that treat people fairly across various demographics. As AI systems often learn from human-generated data, biases encoded in the training data are a concern. Google is actively working to identify and address such biases, striving to ensure that AI systems do not discriminate based on gender, race, or other factors.

2. Avoiding Bias: Pichai highlighted the significant efforts undertaken by Google to mitigate bias in AI. By improving the diversity of the teams involved in AI development, including software engineers, data scientists, and ethicists, the company is addressing potential blind spots, thus reducing the risk of unintentional bias in AI systems.

3. Interpretability: Transparency in AI algorithms is crucial to building trust and understanding among users. Google is exploring methods to make AI more explainable and interpretable, enabling users to comprehend the reasoning behind AI-generated outcomes and decisions. This increased transparency allows users to feel more at ease with AI's impact on their lives.

Collaborative Efforts and Industry Leadership:

Pichai acknowledged that ethical AI development requires collaboration among academia, policymakers, and industry players. Google believes in driving the conversation by actively participating in critical discussions surrounding AI ethics. The company has also advocated for the establishment of regulatory frameworks to guide responsible AI deployment, ensuring that ethical considerations remain at the forefront of the technology's advancement.


As AI continues to have an increasingly prominent role in our lives, it is crucial that industry leaders like Google adapt and expand their ethical principles to address its complexities. Sundar Pichai's interview highlighted the importance of continually reassessing and reinforcing the foundation upon which AI development rests. Through a commitment to fairness, avoidance of bias, and the pursuit of interpretability, Google is setting a valuable example for the AI industry, driving ethical standards and fostering trust in this transformative technology.