The future of AI ethics

AI Ethics

Joe Franklin

Associate Data Literacy and Essentials Manager, DataCamp

Understanding the present

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AI Ethics

Anticipating future ethical dilemmas

  • With each AI advancement, new ethical challenges emerge
  • Questions arise about data privacy, potential bias, and decision-making autonomy

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  • Preparation is key to address future ethical dilemmas
  • Future of AI ethics is unpredictable, but patterns from history can guide us
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AI Ethics

The dynamic nature of AI ethics

  • Evolves with technological advancements
  • Ethical principles must adapt to new AI applications and societal values

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  • Learn from advancements in data security, privacy, and ethics
  • Stay alert to emerging trends, new techniques, and potential pitfalls
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AI Ethics

Ethical AI by Design

  • Awareness of technology and techniques is a prerequisite
  • Ethical AI by Design: integrating ethics from initial design stage of AI systems
  • Safeguards on data collection and storage
  • Place ethical principles at the forefront of the decision-making process

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AI Ethics

Ethical AI in practice

  • Healthcare AI systems:
    • Ensure transparency and explainability for trust in AI-driven diagnoses

 

  • Retail AI systems:
    • Avoid bias and ensure accountability

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AI Ethics

Let's practice!

AI Ethics

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