As AI continues to shape the future of tech, leaders must ensure they're using it responsibly while maintaining human-centric values. Navigating the ethical complexities of AI is crucial to avoid costly mistakes that could compromise both teams and technology.
Today’s episode features Ken Judy, a partner at Stride. Ken has over 30 years of experience in the tech industry, with 15 years spent in executive leadership roles. He highlights the need for accountability and professional ethics in AI development, emphasizing that adopting AI should enhance human roles, not replace them.
Ken highlights potential risks, such as intellectual property violations and misuse of AI outputs. He advocates for proactive efforts to avoid these issues, including new governance roles to oversee AI ethics within organizations, much like Agile's Scrum masters ensure accountability.
Are you ready to lead your team into the future of AI responsibly? Tune in to this insightful episode and learn how to align tech practices to long-term values so that AI supports human potential and organizational goals.
“If you care about people, your first instinct will not be how many of these people I can replace. It'll be, "How can I help these people get their jobs done better?” ~ Ken Judy
In This Episode:
- Ethical principles in AI development
- Transparency and best practices in AI
- Governance and accountability in AI
- Agile principles and AI integration
- Final thoughts on ethics in AI