AI is seemingly everywhere. It powers the technology that helps us move around in the world, entertain ourselves, work productively, and access necessary resources and services. The pressure on business leaders to incorporate AI into their systems and products is enormous. However, successful implementation is difficult. Reportedly, 85% of AI projects fail to bring their intended results to the business. The recent Zillow debacle highlighted the enormous financial risks of implementing AI systems poorly, not only in terms of revenue impact, but also in reputational damage, loss of morale, and loss of jobs. So, how do we move forward with AI responsibly and effectively? That process starts with the system's design.
Participants will leave this session with a broad understanding of two prevailing ethical design frameworks and a practical understanding of the initial steps organizations can take to design ethical and effective AI systems.
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