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Eleanor 'Nell' Watson, Aaron Hui, Abhishek Gupta, Megan Smith Branch, Tania De Gasperis, Renée Cummings, Renée Cummings, and Jennifer Fischer
The Certified Ethical Emerging Technologist (CEET) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates. Organizations and governments are seeking out ethics...
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The Certified Ethical Emerging Technologist (CEET) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates. Organizations and governments are seeking out ethics professionals to minimize risk and guide their decision-making about the design of inclusive, responsible, and trusted technology. An algorithm not designed and assessed in alignment with ethical standards can create further inequity across race, gender and marginalized populations. The reputational and financial impact of an ethics violation can devastate a company. Knowledgeable ethics leaders are needed who can navigate through the more than 160 frameworks and guidelines to select and implement the best strategy to promote fairness and minimize risk for their organization. This specialization is designed for learners who want to create and lead initiatives that prioritize ethical integrity within emerging data-driven technology fields such as artificial intelligence and data science and will be prepared to bridge the gap between theory and practice. Your journey to CEET Certification 1) Complete the Coursera Certified Ethical Emerging Technologist Professional Certificate 2) Complete the Coursera course Preparing for Your CertNexus Certification Exam 3) Review the CEET CET-110 Exam Blueprint 4) Purchase your CEET Exam Voucher 5) Register for your CEET Exam
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Five courses

Turn Ethical Frameworks into Actionable Steps

(0 hours)
Ethical principles form the foundation for ethical technologies. Ethical frameworks based on these principles guide technologists in implementing data-driven solutions. This course analyzes ethical frameworks, regulations, standards, and best practices to integrate them into data-driven solutions.

Promote the Ethical Use of Data-Driven Technologies

(0 hours)
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This course is designed for learners seeking to advocate and promote the ethical use of data-driven technologies.

Create and Lead an Ethical Data-Driven Organization

(0 hours)
Creating and leading an ethical data-driven organization is a cultural transformation. It requires leadership buy-in, resourcing, training, and support through the creation of boards, policies, and governance.

Detect and Mitigate Ethical Risks

(0 hours)
Data-driven technologies, when designed ethically, benefit businesses and society. However, simply stating an intention to "be ethical" is insufficient. Tools and techniques are necessary to assess ethical gaps, identify threats, and improve ethical processes. This course teaches the fundamentals of ethical risk analysis, sources of risk, and risk management strategies.

Communicate Effectively about Ethical Challenges in Data-Driven Technologies

(0 hours)
Leading a data-driven organization requires effective communication to create a culture of ethical practice. This course will help learners develop inclusive strategies to communicate business impacts to stakeholders, design communication strategies that mirror ethical principles and policies, and be prepared to manage an ethical crisis and the media to reduce business impact.

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