Ethics in AI

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Ethics in AI

Context:

UNESCO South Asia Regional Office,in collaboration with the Ministry of Electronics and Information Technology (MeitY), Government of India, hosted the National Stakeholder Workshop on Safe, Trusted and Ethical AI.

More on news:

  • The event followed the Government of India’s approval of the IndiaAI Mission with over Rs 10,000 crore allocated.
  • Ensured AI deployment aligns with public welfare and international norms and standards.
  • Discussions included safe and trusted AI, ethical implications, and societal impact of AI technologies.

 

India’s AI Initiatives and Ethical Considerations:

  • Aimed to integrate safe, trusted, and ethical AI into national and state-level AI strategies and programmes.
  • MeitY is leading the IndiaAI Mission to promote technological self-reliance through various components, including IndiaAI Compute Capacity.
  • AI is expected to add nearly $500 billion to India’s GDP by 2025, with advancements in healthcare, financial services, and telecommunications.
  • Ethical Dimensions:Defining Ethics in AI
  • UNESCO is collaborating with the Ministry of Electronics and IT, Government of India.

IndiaAI Mission Overview:

  • Vision: Making AI in India and Making AI Work for India.
  • Cabinet approved the IndiaAI mission with a budget of Rs. 10,371.92 crore.
  • Objective: Establish a comprehensive ecosystem catalysing AI innovation through strategic programs and partnerships across public and private sectors.
  • Implementation: ‘IndiaAI’ Independent Business Division (IBD) under Digital India Corporation (DIC) will implement the mission.

 

What is Ethics in AI

  • It refers to a system of moral principles and techniques guiding the responsible development and use of artificial intelligence. 
  • Goal: to ensure AI aligns with societal values, respects human rights, and promotes beneficial outcomes.
  • AI ethics typically include principles like transparency, accountability, fairness, privacy, safety, and non-discrimination.
  • Ethical considerations should be integrated into all stages of the AI lifecycle to proactively address risks and biases.
  • International collaboration is crucial for establishing universal ethical standards and tackling global ethical challenges in AI.

AI Code of Ethics

  • Policy: Develop frameworks for standardisation and establish regulations.
    • Use documents like the Asilomar AI Principles to initiate discussions.
  • Education: Educate executives, data scientists, employees, and consumers on AI policies, considerations, and impacts.
  • Technology: Architect AI systems to detect fake data and unethical behaviour.

Ethics in AI

India’s Steps  Safe, Trusted and Ethical AI:

  • Global Partnership on Artificial Intelligence (GPAI)
    • It was launched in June 2020 with 15 founding members, including India.
    • GPAI is the fruition of an idea developed within the G7
    • GPAI currently has 25 member states.
    • Objectives: It aims to guide the responsible development and use of artificial intelligence consistent with human rights, fundamental freedoms, and shared democratic values.
    • The 2023 GPAI Summit took place in New Delhi, India, on 12-14 December 2023. 
  • Key Highlights of AI Initiatives and GPAI Presidency
    • India is developing modern cyber laws focused on openness, safety, trust, and accountability.
    • The National Programme on AI and the National Data Governance Framework Policy (NDGFP) are in place, with a major publicly accessible data sets programme in progress.
    • The Indian Data Management Office (IDMO) and NDGFP will boost AI and data-led research and startups.
    • AI is projected to add USD 967 billion to India’s economy by 2035 and USD 450-500 billion to GDP by 2025, contributing 10% to the USD 5 trillion GDP target.

 

International  Organisations:

  • The European Convention on Cybercrime (Budapest Convention)
    • The Council of Europe’s Convention on Cybercrime was opened for signature in Budapest in November 2001 and  entered into force in 2004.
    • The world’s only binding international treaty on cybercrime.
    • Aims to prevent, deter, and detect crimes committed via the internet and other computer networks.
    • India is not a signatory to the treaty. 

 

AI Act:

  • The AI Act is a European regulation on artificial intelligence (AI) – the first comprehensive regulation on AI.
  • On March 13, 2024, the European Parliament formally adopted the EU Artificial Intelligence Act (“AI Act”), It categorises AI applications into three risk levels:
    • Unacceptable Risk, High Risk, Low Risk.

Economic Impact of AI Ethics

  • Improves company reputations, fostering stronger customer loyalty and long-term success.
  • Ethical AI encourages innovation, attracting customers and investors who value ethical practices, leading to potential profitability.
  • Providing job opportunities and ensuring ethical AI practices.
  • It helps small businesses stand out and attract ethically-conscious customers.
  • It attracts international businesses and skilled workers, boosting their economies.

Challenges in AI Ethics:

  • Bias in AI: AI can make biassed decisions due to skewed data, leading to unfair outcomes. Regularly checking and adjusting AI systems is essential to ensure fairness.
  • AI and Jobs: There’s concern about AI replacing human jobs, creating a balance between leveraging AI’s efficiencies and maintaining job security.
  • Privacy and Surveillance: AI’s data collection raises privacy issues. Ensuring AI respects privacy and avoids misuse is a significant challenge.
  • Copyright and AI: As AI creates content, questions arise about ownership and use. Addressing these copyright issues becomes increasingly important as AI’s creativity grows.

Way Forward:

  • Policy Development: Establish global standards for ethical AI implementation.
  • Education and Awareness: Educate stakeholders about AI policies and impacts.
  • Technology Innovation: Develop AI systems prioritising transparency and fairness.
  • International Engagement: Collaborate globally to address ethical challenges in AI.
  • Addressing Challenges: Mitigate AI biases, job displacement, privacy, and copyright issues proactively.
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