Using AI Ethically
Priya Lakhani
20 years: CEO and AI Business Strategist
How do you use AI responsibly in your business? Join Priya Lakhani as she outlines how to create clear guidelines.
How do you use AI responsibly in your business? Join Priya Lakhani as she outlines how to create clear guidelines.
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Using AI Ethically
11 mins 48 secs
Key learning objectives:
Understand the ethical implications of AI in business
Learn how to identify bias in AI systems
Outline guidelines and frameworks for ethical AI use
Understand the importance of transparency and accountability in AI
Skills:
Impacts:
Risk Management
Overview:
AI is not just a tool, but a decision-maker that businesses are increasingly relying on. This raises important ethical questions, such as how to ensure decisions are fair and unbiased, and how to maintain human oversight over machine-driven processes. Bias in AI can emerge from multiple sources, including historical data, sampling, measurement, and labelling biases. Establishing clear ethical principles is key to using AI responsibly in business. These principles should include: fairness, transparency, accountability and privacy.
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Summary
Establishing clear ethical principles is key to using AI responsibly in business. These principles should include:
What are the ethical implications of AI in business?
AI is not just a tool, but a decision-maker that businesses are increasingly relying on. This raises important ethical questions, such as how to ensure decisions are fair and unbiased, and how to maintain human oversight over machine-driven processes. The use of AI in business requires a careful approach to prevent reinforcing existing societal biases, especially in areas like hiring, customer service, and decision-making processes.
How can bias appear in AI systems, and how can businesses identify it?
Bias in AI can emerge from multiple sources, including historical data, sampling, measurement, and labelling biases. For example, AI systems trained on historical data may continue to perpetuate past inequalities. Businesses need to assess their AI systems by auditing training data, testing across different demographic groups, and involving diverse teams in development. Regular checks and balanced training data are essential to ensure AI systems don't introduce or perpetuate bias.
What guidelines and frameworks should businesses follow for ethical AI use?
Establishing clear ethical principles is key to using AI responsibly in business. These principles should include:
- Fairness: Ensuring equitable treatment across all individuals and groups
- Transparency: Clearly explaining how AI decisions are made
- Accountability: Assigning clear responsibility for AI outcomes
- Privacy: Protecting and respecting user data
Why is transparency and accountability important when using AI?
Transparency in AI means businesses must clearly communicate when AI systems are in use and explain how decisions are made. Accountability ensures that there are clear responsibilities for AI outcomes, with mechanisms for oversight and the ability to override AI decisions if necessary. Examples like the South Wales Police facial recognition system, which faced legal scrutiny for bias and privacy issues, underscore the need for clear guidelines and human accountability in AI deployment.
How can businesses conduct a proper risk assessment?
Before implementing AI, businesses must conduct thorough risk assessments, considering potential biases or failures. The risk assessment should evaluate the likelihood of AI errors and the impact of those errors, especially concerning customer or demographic discrimination. Mitigation strategies, such as keeping human oversight in the loop, are essential to prevent AI from making harmful or biased decisions. For example, using an AI-powered CV screening tool should always include a review from an employee or manager to avoid mistakes like those made by Amazon’s AI hiring tool.
How can businesses mitigate bias in AI systems?
To mitigate bias, businesses should:
- Audit data regularly for imbalances
- Test AI systems with diverse inputs to compare outcomes
- Use diverse teams in AI development to spot potential biases
- Create specific test cases to detect bias
- Monitor AI outputs continuously to identify biased patterns
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Priya Lakhani
Priya Lakhani is a visionary entrepreneur, combining technology innovation with education. As the Founder and CEO of CENTURY Tech, she is at the helm of revolutionising learning through AI-powered tools that transform classrooms, universities, and workplaces. Her journey from barrister to business leader reflects her bold commitment to making a global impact.
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