VIDEO
HIGHLIGHT
Log InSign up
Do you know AI or AI knows you better? Thinking Ethics of AI (version with multilingual subtitles)
SummaryTranscriptChat

Do you know AI or AI knows you better? Thinking Ethics of AI (version with multilingual subtitles)

Artificial Intelligence Overview

In this section, the speaker introduces artificial intelligence (AI) and discusses different approaches within the field.

AI Approaches

  • AI involves computers performing cognitive tasks previously done by humans, such as data analysis and decision-making.
  • Two main AI approaches: data-based AI focusing on algorithms working with data, and knowledge-based AI emphasizing understanding data in context.
  • AI blurs boundaries between humans and technology, raising questions about human uniqueness as machines perform tasks traditionally done by humans.

Implications of AI Systems

This section delves into the impact of AI on society, job markets, education, and ethical considerations.

Impact of AI

  • Job loss due to AI is inevitable but accompanied by the emergence of new jobs in fields like education.
  • The future social divide may be between individuals adaptable to new technologies versus those resistant to change.
  • Emphasizes the importance of integrating human values into the development of AI systems for supporting humanity effectively.

Ethical Considerations in AI Development

Discusses ethical dilemmas related to autonomous vehicles, moral decision-making, bias in algorithms, and educating AI ethically.

Ethical Challenges

  • Ethical dilemmas arise in scenarios where autonomous vehicles must make split-second decisions impacting lives.
  • Ethics extend beyond binary choices; moral behavior requires motivation beyond programmed responses.
  • Educating algorithms ethically necessitates diverse ethical frameworks rather than a singular approach for all.

Human Vulnerability in Technology Development

Focuses on incorporating human vulnerability into developing AI technologies for safer interactions and enhanced relationships.

Human-Centered Approach

  • Advocates placing human vulnerability at the core of developing AI technologies for safer interactions.
  • Understanding human vulnerabilities can lead to creating technologies that enhance rather than exploit social relations.

Addressing Bias in Artificial Intelligence

Explores concerns regarding bias in AI systems and emphasizes the need for addressing biases to ensure fair interpretations and decisions.

Bias Mitigation

  • Bias in AI systems can stem from underlying frameworks affecting judgments made by these systems.

AI and Bias in Society

The discussion highlights the presence of bias in AI systems, particularly concerning minority populations, and emphasizes the importance of inclusivity and diversity in technology development.

Bias in AI Systems

  • Engineers need to consciously include minorities and vulnerable populations in technology development to avoid biases.
  • Lack of representation leads to biased outcomes; diverse teams are crucial for addressing biases effectively.

Gender Equality and AI Technology

  • AI reflects societal biases such as gender-specific marketing, impacting job advertisements and perpetuating stereotypes.
  • Gender stereotypes are deeply rooted in AI design, influencing voice assistants' behaviors based on gender norms.

AI's Role in Cultural Preservation

The conversation explores how AI can support cultural preservation by respecting and enhancing local traditions through technology.

Cultural Preservation with AI

  • AI can help verbalize cultural concepts like wabi-sabi, aiding in explaining complex cultural aspects to a broader audience.
  • Example of using AI to enhance creative activities among local communities, such as creating poems based on old memories.

Ethical Responsibility in AI Development

The focus shifts towards ethical considerations surrounding responsibility in developing and utilizing AI technologies.

Ethical Considerations

  • Understanding responsibility is crucial when AI systems recommend or make decisions autonomously.

The Importance of Responsibility in Technology Development

The discussion revolves around the story of Frankenstein and draws parallels between Victor Frankenstein's lack of responsibility towards his creation and the importance of taking responsibility for developing and introducing technologies like AI into society.

Frankenstein's Story and Its Lessons

  • Victor Frankenstein failed to take responsibility for his monster, leading to dire consequences.
  • Lesson: Do not abandon your creations; take responsibility for their development and integration into society.
  • With AI, similar responsibilities exist - educate, guide, and hold accountable for their actions.
  • Neglecting these responsibilities can lead to a scenario akin to Victor Frankenstein's fear of his creation taking over.
Channel: UNESCO
Video description

In this version of the video, you can activate subtitles in Arabic, Chinese, English, French, Japanese, Korean, Russian, Spanish, and many more languages. An English/French version with embedded subtitles is also available: https://youtu.be/TIihPx4z0Nw How is AI changing our world? Why should each of us care about it? What would be our future with AI? Four experts talk about ethical questions of AI such as self-driving cars, job loss, data bias, gender issues, minority populations, human vulnerability, international cooperation and lessons from the Frankenstein story. https://en.unesco.org/artificial-intelligence Connaissez-vous l’IA mieux qu’elle ne vous connait? Penser l’éthique de l’IA (sous-titres multilingues) Dans cette version de la vidéo, vous pouvez activer les sous-titres en arabe, anglais, chinois, coréen, espagnol, français, japonais, russe et plusieurs autres langues. Une version anglaise/française avec sous-titres incorporés est également disponible : https://youtu.be/TIihPx4z0Nw Comment l'IA change-t-elle notre monde ? Pourquoi chacun d'entre nous devrait-il s'en soucier ? Quel serait notre avenir avec l'IA ? Quatre experts abordent les questions éthiques de l'IA telles que la conduite automobile, la perte d'emploi, les préjugés sur les données, les questions de genre, les populations minoritaires, la vulnérabilité humaine, la coopération internationale et les leçons tirées de l'affaire Frankenstein. https://fr.unesco.org/artificial-intelligence