Why Responsible AI Matters: Insights from Leading Experts
Generative AI is rapidly transforming various industries, offering new opportunities and driving innovations. However, as its adoption increases, concerns about ethics and trust have also emerged. Responsible integration of Generative AI is essential to promote its long-term success and foster trust among users. In this panel discussion, experts will share insights on how to ensure fair, explainable, and privacy-respecting AI systems.
Fairness in Generative AI:
One of the key issues with AI is that it can reproduce and even amplify societal biases present in the training data. This has raised concerns about the fairness of AI models and their impact on vulnerable communities.
Explainability in Generative AI:
As Generative AI models become more complex, it is essential to enable users to understand how decisions are made and how results are generated.
Privacy in Generative AI:
Another critical issue in AI is data privacy. As AI systems rely on vast amounts of data, ensuring that it is kept private and secure is crucial to protect users' personal data and privacy.
Implications of Trust in Generative AI:
The potential for Generative AI to erode trust is a significant concern for businesses and society.
The panel will discuss the implications of trust in Generative AI and how to address potential issues. They will explore how to ensure transparency and accountability in AI systems to build trust among users.
Panellists include: Varun Verma, Chief Data Analytics Officer, L'Oréal; Probir Dutt, Automation Evangelist, IAG; Nipun Sharma, Enterprise Data & AI Architect, Komatsu Australia
As Generative AI continues to shape our lives, it is essential to ensure that it is integrated responsibly and ethically. This panel discussion as a part of Generative AI for Enterprise this September 2023 in Melbourne, provides valuable insights into how to address critical issues such as fairness, explainability, privacy, and trust in Generative AI. By adopting responsible AI practices, we can ensure that Generative AI contributes to a more equitable and trusted future.
