👋 Hello, Humane Tech Pioneers!

In an era where every company must harness AI, today's tech field demands more than coding, AI, or data analytics skills. What's essential is a profound understanding of technology's impact on society and a dedication to Do No Harm to either humanity or the planet. Interest in talents skilled at integrating advanced tech with ethical standards is growing. The world needs next-gen tech developers building human-centered AI! Possessing skills in ethical and responsible AI not only sets you apart from other tech professionals but also places you in high demand.

This week's newsletter zeroes in on how to stand-out from the “AI” or "tech" crowd, highlighting pathways to excel in ethical AI and responsible tech innovation.

We’ll cover:

🩷 FAVORITE RESOURCE TO STAY ON TOP OF TECH TRENDS 

🚨 NEWS

🔥 HOT SKILLS 

🎓 LEARNING PATHWAYS

👥 EMERGING RESPONSIBLE TECH JOB BOARDS & SEARCH

⚒️ OPEN-SOURCE ETHICAL AI TOOLS

📍RESPONSIBLE TECH CAREER GUIDE

Let’s Dive in!

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HUMANE TECH NEWS

ETHICAL AI DEVELOPMENT

ChatGPT use Linked to Memory Loss, Procrastination in Students

Summary

Is ChatGPT helping students or harming their learning? New research raises surprising concerns. The study suggests that ChatGPT's ability to provide easy answers reduces students' critical thinking, problem-solving efforts, and a drop in GPA. Read more

Take Away

This highlights the demand for professionals skilled in developing AI with ethical considerations at the forefront. This means creating AI that supplements human intellect and productivity without inadvertently encouraging reliance that could hinder cognitive skills or academic performance.

HOT SKILLS

DATA PRIVACY & SECURITY SKILL

Privacy-First Engineering

Helps solve: Trust, Privacy & Safety issues

What is it 

Embracing "privacy-first by design" principles. This means treating user data protection not as an afterthought, but as core to how you build apps. Build with the assumption that a breach will happen and mitigate the fallout from day one. Students who are trained in privacy-preserving technologies concepts, such as data protection, anonymization, and encryption, will be well-positioned to succeed in this field

How it works

-Minimize Data Collection: Does your app truly need all that info? Collecting less means less risk of breaches or misuse. Less data = less liability and a better user experience.
-Transparency: Being upfront with users about what data is used, how, and giving them control over it.
-Security Best Practices: Strong encryption, secure storage, and rigorous testing to prevent data leaks are non-negotiable.

Why it Matters

- Future Fit: Regulations like GDPR are only getting stricter. This skill shows you're ahead of the curve, not scrambling to comply later.
-Competitive Advantage: Trust is the new currency. Apps that respect privacy attract and retain loyal users.

How to Stand Out

-Project Proof: Even in personal projects, show how you implemented privacy features proactively (e.g., secure login, minimizing data storage).
-"Fixer" Mentality: Did an app's recent privacy scandal spark an idea in you? Explain how you'd redesign it with privacy at the forefront.

💜 LEARN More on How to become a Privacy-First Engineer

HUMAN-CENTERED DESIGN SKILL

Human-Centered AI (HCAI) Design

Emphasizes explainable AI (XAI) techniques, works to mitigate AI bias.

What is it

Think of HCAI as your bullsh*t detector and competitive advantage rolled into one. It's about designing AI that actually works for real people and avoids those cringeworthy fails. Aligning AI systems with human needs, goals, and well-being. It prioritizes understanding how people will actually interact with AI and the broader impact on their lives and society.

How it works 

-User Research: Employs methods from design thinking and social sciences to deeply understand the context of how AI will be used.
-Explainability: Emphasizes AI models that aren't just black boxes – humans need to understand the 'why' behind decisions.
-Mitigating Bias: Proactive testing to identify and address biases that might perpetuate discrimination.

Why it Matters

- Future Fit: Companies can't afford to release AI that frustrates users or backfires ethically. HCAI is the skillset that keeps you (and your employer) relevant.
-Real-World Impact: HCAI aims to prevent the unintended consequences of poorly designed AI (perpetuating bias, eroding privacy, etc.). This isn't just about tech working well, but doing good.

How to Stand Out

- Ditch the Jargon: Don't just recite HCAI principles. Explain how you applied them to improve a project, or to analyze a piece of AI-powered tech critically.
- Be the Translator: Show how you understand the broader concerns stakeholders might have about AI (bias, job displacement) and how your work addresses those.

💜 LEARN More Human-Centered Machine Learning Design Career

LEARNING PATHWAYS

LEARNING PATHWAY

MSc or PgCert in Data & AI Ethics

by University of Edinburgh - Futures Institute

Online

What is it

This interdisciplinary program from the University of Edinburgh equips you to address the ethical challenges of AI. You'll gain the skills to design, use, and govern AI systems responsibly across various sectors. You will master how to identify, analyze, and evaluate solutions that align AI with ethical norms. Translate abstract principles into practical design and governance decisions.

Who is the Program For?

Students & Professionals seeking careers in AI ethics, policy, or governance.

Policy Students Seeking Tech Specialization - It could be a great addition for those studying broader governance, and seeking real-world projects to understand how science and tech intersect with rulemaking.

Future Fit Criteria

Exponential Technologies ⭐️⭐️⭐️⭐️ Deep dive into current AI literacy and AI ethical challenges, principles, and how they intersect with law, policy, and design for responsible governance.

Real-World Challenges ⭐️⭐️⭐️⭐️⭐️ You develop the ability to translate ethical concepts into practical solutions across diverse domains of AI application.

Human Skills ⭐️⭐️⭐️⭐️⭐️ Extensive focus on collaboration, communication, and creating actionable guidance for stakeholders with varying backgrounds. Program emphasizes understanding ethical implications for different communities, anticipating risks, and aligning AI with human needs. You practice communication and learn how to translate and clearly articulate ethical concepts and framings for multiple audiences and across different domains of data/AI application.

Work-Based Learning ⭐️⭐️⭐️⭐️⭐️ They provide Student-Challenges with real companies that ends in a substantial project, requiring research, solution design, and stakeholder communication. You work collaboratively with others to produce clear, accessible, and actionable guidance tools for ethical design and governance of AI and data-intensive technologies.

Industry Connections ⭐️⭐️⭐️ There is external stakeholder challenges and code-alongs that will likely foster valuable connections.

LEARNING PATHWAY

Human-Centered AI

By Tomorrow University of Applied Science

Online

What is it

This Impact certificate equips you to design AI systems that prioritize user experience, embrace ethical considerations, and foster collaboration between AI and humans. You'll delve into the technical aspects of AI, such as cognitive networks and generative tools, while always keeping a focus on real-world needs. Through hands-on challenges, you'll turn your knowledge into a working prototype, demonstrating your ability to create human-centered AI solutions.

Who is the Program For

• Tech professionals aiming to integrate user-centered and ethical thinking into AI projects.

• Designers, UX specialists, and product managers seeking a deeper understanding of AI for user-friendly interfaces.

• Cognitive scientists and AI researchers interested in practical applications of their knowledge in user-focused design.

Future Fit Criteria

Exponential Technologies ⭐️⭐️⭐️⭐️
Understand the technical underpinnings of AI (cognitive networks, generative models) for human-centric design decisions.

Real-World Challenges ⭐️⭐️⭐️⭐️⭐️
Participants work in teams to tackle real-world problems Emphasizing ethical AI design.

Innovation Skills ⭐️⭐️⭐️⭐️⭐️
Master collaboration across disciplines – bridging the knowledge of AI engineers, designers, ethicists, and end-users. Gain practical experience with prototyping, and the potential to use it as a portfolio piece. Understanding User Needs: Stakeholders, such as end-users and domain experts, can provide valuable insights into the needs and challenges that the AI system should address. Identifying Potential Biases: By involving a diverse range of stakeholders, you can help to identify and mitigate potential biases in the AI system's design and development..

Human Skills ⭐️⭐️⭐️⭐️⭐️
You will practice critical thinking as you investigate ways to foster meaningful collaboration between AI and humans. You will collaborate and develop human-centered AI systems by engaging with the technology and investigating ways to foster meaningful collaboration between both.

Work-Based Learning ⭐️⭐️⭐️⭐️
You learn by prototyping and talking to external stakeholders and users.

Industry Connections ⭐️⭐️⭐️⭐️
Participants gain exposure to a global community of innovators and potential collaborators, with learners drawn from leading companies in various sectors.

LEARNING PATHWAY

Ethics in the Age of Generative AI

By J. McGovern Foundation

Online - LinkedIn Learning Professional Certificate

What is it

With this online LinkedIn Professional Certificate, you get a solid introduction to the ethical concerns around generative AI, then learn how to use a framework of ethical analysis to address these concerns. Plus, explore ways you can prepare an organization to address ethics in AI across all stakeholders from technology to C-Suite leaders.

Who is the Program For

Tech Professionals: Those in development, data science, or product roles who need to integrate ethical thinking into their use of AI, especially generative AI.

Cross-Functional Teams: Emphasizes preparing different parts of an organization for ethical AI, encouraging a holistic approach, not just tech-focused.

Tech & AI students who want to proactively learn about AI’s ethical implications, a major plus for internships and job searches.

Future Fit Criteria

Exponential Technologies ⭐️⭐️⭐️ The program is less about building emerging technical skills and more about the ethical decision-making processes and responsible mindsets technologists need when working with Generative AI. It also goes deep into ethical implications & frameworks.

Real-World Challenges ⭐️⭐️⭐️⭐️ The focus on practical application of ethical frameworks and the module on "Preparing Your Organization..." address real-world impacts and how to navigate them responsibly.

Human Skills ⭐️⭐️⭐️⭐️ Understanding ethical frameworks, evaluating bias, and anticipating AI's social impact all require strong human skills..

Work-Based Learning ⭐️⭐️⭐️ The practical examples and focus on risk assessment provide some skills directly applicable in a workplace setting, but the program is not project-based.

Industry Connections ⭐️⭐️⭐️⭐️ LinkedIn professional networking platform. Throughout the program, you can identify people from the course discussions who seem interesting and whose work aligns with your goals. Send personalized connection requests referencing the shared learning experience and build your network.

HUMANE TECH JOBS BOARDS & SEARCH

“Over 75% of respondents in a 2024 Survey by Deloitte, expect generative AI to transform their organizations within three years. The role of AI Ethicist is becoming a hot topic as businesses grow more reliant on AI.”


Humane Tech & Responsible Tech Job Boards: 

1. Digital Rights Jobs Board: Global jobs related to internet advocacy, privacy, and security.

2.  Fast Forward Jobs Board: Tech Nonprofit Job Board Opportunities from over 600 organizations leveraging tech for social impact.

3. Responsible Tech Jobs Board: This is a job board that helps connect people with companies looking to hire for responsible tech roles.


🔍 Search terms to uncover a wider range of ethical and responsible tech openings:

Skill-Focused Terms: "Algorithmic Bias" or "Algorithmic Fairness": Targets roles focused on mitigating harmful biases in AI.

"Privacy by Design": Finds jobs emphasizing privacy as a core design principle, not an afterthought.

"User-Centered Design" or "Human-Centered AI Design": Prioritizes user needs and experiences.

"Transparency" or "Explainable AI" (abbreviated "XAI"): Highlights jobs where communicating how AI systems work is essential.

"Trust & Safety": Focuses on protecting users from online harms, content moderation, etc.

“Ethical Data Analyst” or “Ethical AI analyst”.


🔥 New Responsible Tech Roles that you can research:

- Trust & Safety Policy: Protecting users from harmful content and online abuse often intersects with responsible AI. AI systems might be used as part of a larger Trust & Safety strategy.

-Privacy Manager/Architect: While data privacy isn't synonymous with AI ethics, they are deeply intertwined. Responsible AI requires careful handling of data and respect for user privacy.

-Machine Learning Engineer Account Integrity: Depending on the company, this could entail using ML to detect fake accounts or harmful content - work with an ethical implication.

Machine Learning Fairness Research Scientist: Directly focused on the core issue of mitigating bias in ML algorithms, a cornerstone of responsible AI.

-Responsible AI Program Manager: Implies the strategic creation and implementation of initiatives aimed at ensuring ethical AI development and deployment within an organization.

- AI Ethics Researcher: Explores the philosophical, social, and political implications of AI. Focuses on identifying potential harms and developing ethical frameworks.

It’s important to have a work portfolio of ethical AI projects.

🏁 Start Opensource, AI projects with Local & International Collaborators
Start a tech project for good at Omdena 

📣 RESOURCE: Tips to Level up your LinkedIn with responsible AI insights

⭐️ "How to" Highlight AI Ethics LinkedIn Guide

ETHICAL AI OPEN-SOURCE TOOLS

Open-source tools are a perfect fit for ethical AI due to their inherent transparency, allowing anyone to inspect the code and understand how the tool works, thereby building trust. They foster global collaboration, leading to more robust, well-tested tools that incorporates diverse perspectives crucial for ethical AI.

As open-source development becomes more prevalent, there will be a growing demand for professionals who can contribute to open-source projects and communities. Students who are trained in open-source development concepts.

Let´s have a look at some of these open-source tools and how they could help you ensure ethical AI practices:


1. InterpretML: helps you understand and explain your AI model's decisions, ensuring transparency.

2. AI Explainability 360:  provides tools for deeper insights into machine learning predictions, enhancing understanding and transparency..

3. AI Fairness 360: offers metrics and algorithms to detect and mitigate bias in AI models, promoting fairness. 

4. Alibi Explain: Alibi Explain offers techniques for inspecting and interpreting AI model predictions, clarifying their reasoning processes.

5. Presidio: safeguards sensitive data through anonymization and de-identification, protecting user privacy.

CAREER ROADMAP

AI & Human Rights- Building a Tech Future Aligned With the Public Interest LINK

How to Implement AI Ethics Youtube Video

How to build your Career in Humane Tech  Youtube Video

Thank you for reading!

Do you know of any learning pathways, communities, or resources focused on humane tech? Reach out by replying to this newsletter, or via direct message on Linkedin.