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Irena Cronin          

CEO of Infinite Retina and SVP of Product at DADOS Technology & Author of "Spatial Computing"

Irena Cronin is SVP of Product for DADOS Technology which is creating a data analytics and visualization platform for the Apple Vision Pro. She is also the CEO of Infinite Retina which provides research to help companies develop and implement AI, AR and other new technologies for their businesses. Irena is an author of five books, three are upcoming "Spatial Computing: An AI-Driven Business Revolution", co-authored with Cathy Hackl and published by Wiley, "Understanding Generative AI Business Uses" (Apress), and "Decoding Large Language Models" (Packt). She was the keynote speaker at Laval Virtual in 2020 and has been a speaker at many events.

Cronin has a joint MBA/MA from the University of Southern California and an MS with Distinction in Management and Systems from New York University. She graduated with a BA from the University of Pennsylvania with a major in Economics (summa cum laude).

Speech Topics


Navigating the Gray: Ethical Implications of AI in Critical Decision Making

As AI systems increasingly permeate various sectors—from healthcare and law enforcement to financial services and human resources—they bring with them the promise of efficiency and precision. However, these advancements are not without their ethical quandaries. This presentation aims to dissect the ethical implications of AI in decision-making processes, focusing on the balance between algorithmic efficiency and human values.

  • Bias and Fairness: We'll delve into how historical data can embed biases into AI algorithms, leading to unfair outcomes, and discuss strategies for mitigating bias.
  • Transparency and Explainability: The importance of understanding AI decision-making processes will be examined, underscoring the need for transparency to gain public trust.
  • Accountability: Who is responsible when an AI system makes a mistake? We'll scrutinize the challenges in assigning accountability for AI decisions.
  • Privacy Concerns: We'll navigate through the complex landscape of data privacy in AI, considering the trade-offs between data utility and user privacy.
  • Regulatory Landscape: An overview of current and potential regulatory frameworks designed to manage the ethical deployment of AI systems will be provided.
  • Human-AI Collaboration: The role of AI as a support tool rather than a replacement for human decision-making will be discussed, emphasizing the value of human oversight.

Conclusion:

We'll conclude by proposing a set of ethical guidelines for AI deployment in decision-making roles, advocating for a multi-disciplinary approach to AI ethics that involves technologists, ethicists, policymakers, and affected communities.

Takeaways:

Attendees will leave with a comprehensive understanding of the ethical challenges posed by AI, equipped with knowledge on how to approach these challenges in their professional environments, and contribute to the development of ethical AI systems.

Target Audience:

This presentation is tailored for AI professionals, ethicists, policy makers, business leaders, and anyone interested in the intersection of technology and society. It will provide valuable insights for those involved in the development, deployment, or governance of AI systems.

AI and Climate Change: Harnessing Data for a Greener Future

As AI systems increasingly become a part of our arsenal against climate change, they promise unparalleled efficiency and analytical precision. This presentation seeks to dissect the potential and the ethical implications of leveraging AI in climate change mitigation, emphasizing the delicate balance between technological capability and the preservation of our planet.

The Climate Imperative:

  • Urgency of addressing climate change.
  • Role of AI in environmental sustainability.

AI's Role in Mitigating Climate Change:

  • Energy sector transformation through AI.
  • Environmental monitoring via AI technologies.
  • AI in sustainable urban planning.

Challenges and Ethical Implications:

  • Carbon footprint of AI operations.
  • Data accuracy and privacy in AI applications.
  • Risk of unequal outcomes from AI deployment.

Strategic Approaches:

  • Innovating energy-efficient AI.
  • Balancing data utility with privacy.
  • Cross-disciplinary collaboration for ethical AI.

Conclusion:

The presentation will culminate with a call to action for responsible AI development that prioritizes our environment, proposing guidelines that balance innovation with ecological and social integrity.

Takeaway:

Participants will leave with a deeper understanding of AI's transformative potential and its ethical dimensions in climate action, equipped with strategies to implement responsible AI solutions.

Target Audience:

This presentation is designed for environmental scientists, AI professionals, technologists, policymakers, and anyone interested in the intersection of technology and ecological sustainability. It will provide actionable insights for those involved in the development, deployment, or oversight of AI systems in the context of climate change.

Spatial Computing: Shaping the Future of Interaction with the Physical World

This presentation provides a deep dive into spatial computing, the revolutionary technology that blends AR, VR, and advanced sensors to create immersive interactions between the digital and physical worlds. We will explore cutting-edge applications across various sectors, assess the technological advancements driving innovation, and discuss the challenges that need addressing to fully realize spatial computing's potential. As we consider the future landscape, we will also touch upon the ethical and regulatory considerations that come with such a pervasive technology.

Defining Spatial Computing:

  • An introduction to spatial computing and its components: AR, VR, and sensor technologies.
  • The convergence of the digital and physical worlds through spatial computing.

Applications and Case Studies:

  • Exploration of spatial computing in various industries: healthcare, manufacturing, retail, and education.
  • Detailed case studies showcasing real-world implementations and results.

Technological Innovation and Challenges:

  • The latest advancements in spatial computing hardware and software.
  • Addressing the challenges: user experience, privacy concerns, and technical limitations.

The Future Landscape:

  • Predictions for the future development of spatial computing.
  • Potential societal and economic impacts of widespread adoption.

Ethical and Regulatory Considerations:

  • Discussion on the ethical implications of spatial computing.
  • The evolving regulatory landscape and its impact on innovation and privacy.

Conclusion:

  • The presentation will close by emphasizing the transformative nature of spatial computing, highlighting its potential to redefine human interaction with the world and urging a responsible approach to its development.

Takeaways:

  • Attendees will gain a comprehensive understanding of spatial computing, its current applications, and future potential, along with the knowledge to navigate its ethical and regulatory aspects.

Target Audience:

  • This presentation is aimed at technology developers, innovators, business strategists, and regulatory professionals interested in the intersection of cutting-edge computing and the future of interactive technology.

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