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Crafting AI Identities

Strategies & Ethical Considerations

Resham Sivnarain

Artificial intelligence is increasingly shaping our daily interactions, from virtual assistants to personalized recommendations. Chatbot key statistics show (Press, 2023), in 2022 that 88% individuals have had atleast one conversation with a chatbot and 35% of users prefer to use chatbots to resolves their complaints. Using AI identities to engage with customers in authentic and trustworthy way is becoming more important than ever.

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Artificial intelligence is increasingly shaping our daily interactions, from virtual assistants to personalized recommendations. Chatbot key statistics show (Press, 2023), in 2022 that 88% individuals have had atleast one conversation with a chatbot and 35% of users prefer to use chatbots to resolves their complaints. Using AI identities to engage with customers in authentic and trustworthy way is becoming more important than ever.

This short course was created to help professionals in AI development, UX/UI design, business and ethics accomplish the task of crafting authentic AI identities while considering ethical implications.

In this 2-hour long course, you will learn how to understand user needs and preferences, define AI personality and voice, implement multimodal expressions, address bias and fairness, ensure privacy and data protection, promote transparency and accountability, and navigate human-AI interaction ethics.

By completing this course, you'll be able to enhance user experiences with AI interactions, mitigate bias and ensure fairness in AI systems, and navigate ethical considerations in AI identity design, empowering you to create AI identities that resonate with users and uphold ethical standards.

This project is unique because it combines practical strategies for crafting authentic AI identities with ethical considerations, providing learners with a holistic understanding of AI identity design. In order to be successful in this project, you will need a basic understanding of AI concepts, user experience design principles, and ethical frameworks.

Press, G. (2023). Chatbot statistics for 2024: Usage, demographics, trends. What’s The Big Data? Retrieved from https://whatsthebigdata.com/chatbot-statistics/.

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What's inside

Syllabus

Crafting AI Identities: Strategies & Ethical Considerations
Artificial intelligence is increasingly shaping our daily interactions, from virtual assistants to personalized recommendations. Chatbot key statistics (Press, 2023) in 2022 show that 88% of individuals have had at least one conversation with a chatbot and 35% of users prefer to use chatbots to resolve their complaints. Using AI identities to engage with customers in an authentic and trustworthy way is becoming more important than ever. This Short Course was created to help professionals in AI development, UX/UI design, business, and ethics accomplish the task of crafting authentic AI identities while considering ethical implications.
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Lesson 1: Evaluating the Importance of Thoughtful AI Identity Design in Shaping User Interactions
In this lesson, you will analyze the concept of AI identities and the importance of thoughtful design in shaping user interactions.
Lesson 2: Strategies for Crafting Authentic AI Identities
In this lesson, you will be provided with practical strategies for designing authentic and relatable AI personas that enhance user experiences.
Lesson 3: Challenges and Considerations in AI Identity Design
In this lesson, you will examine considerations and guidelines for creating AI identities that prioritize user well-being and respect diversity.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines the use of AI in a way that is relevant to an increasingly automated world
Teaches multimodal expressions, which are used in a variety of professional contexts
Explores cutting edge ethical implications of AI
Provides timely guidance regarding human-AI interaction, which is an increasingly important issue
Taught by Resham Sivnarain, a seasoned researcher in ethical AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Crafting AI Identities: Strategies & Ethical Considerations with these activities:
Review basic machine learning concepts
Reviewing these basic concepts will ensure you have a solid foundation for the more advanced material covered in the course.
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  • Revisit the definitions and types of machine learning algorithms.
  • Practice using basic machine learning libraries (e.g., scikit-learn, TensorFlow).
Seek guidance from mentors
Mentors can provide valuable support and guidance, helping you navigate the challenges of AI identity design and ethical considerations.
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  • Identify potential mentors within the field.
  • Reach out to mentors and express your interest in their guidance.
  • Set up regular meetings or communication channels to seek advice.
Participate in a peer review session
Peer review provides valuable feedback, helping you refine your AI identity designs and gain insights from others' perspectives.
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  • Identify a peer or group of peers to collaborate with.
  • Exchange AI identity designs and provide constructive feedback.
  • Incorporate feedback into your own designs.
Two other activities
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Practice designing multimodal AI expressions
Through repetitive practice, you will develop proficiency in designing multimodal expressions, enhancing the user experience of AI interactions.
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  • Identify different types of multimodal expressions (e.g., text, audio, video).
  • Practice designing expressions that convey different emotions and intentions.
  • Test your expressions with user feedback to refine their effectiveness.
Develop an AI ethical impact assessment
Creating an ethical impact assessment will help you identify and mitigate potential ethical risks associated with your AI identity designs.
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  • Identify the potential benefits and risks of your AI identity.
  • Analyze the impact of your AI identity on different stakeholders.
  • Develop strategies to mitigate ethical concerns and promote responsible use.

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