intro to ethics

Why is Ethics Important in IT

Fostering Responsible Innovation, Impact on Individuals & Society, Building Trust & Credibility, Mitigating Risks & Legal Issues

Ethical Dilemmas in IT

Data Privacy & Security, Intellectual Property, Bias in AI & Algorithms, Digital Divide & Access, Responsible Emerging Tech

Professionalism

demands crucial non-technical attributes that shape positive impact and foster trust.

Data Privacy & Security

• Safeguarding sensitive personal data.

• Ensuring user consent and transparency

• Preventing unauthorized access and

misuse.

Intellectual Property

• Protecting creative works and innovations

• Balancing ownership with fair use principles.

• Combating digital piracy and distribution.

Digital Divide & Access

Bias in AI & Algorithms

• Identifying and mitigating algorithmic

bias.

• Ensuring equitable outcomes in AI

decisions.

• Promoting fairness and accountability.

Competence & Due Diligence

Master skills, ensure thoroughness, and continuously adapt.

Integrity & Honesty

Uphold transparency, honesty, and ethical conduct.

Accountability & Responsibility

Own actions, take responsibility, and consider impacts.

Respect & Diversity

Value diverse perspectives, protect privacy, foster inclusion.

Communication & Collaboration

Engage clearly, share knowledge, and work effectively.

ACM

Association for Computing Machinery

IEEE

Institute of Electrical and Electronics Engineers

Role of Professional Bodies

Establish and uphold ethical standards for the IT industry. Guide professionals in navigating complex dilemmas. Foster a culture of responsibility and integrity.

Codes of Ethics & Conduct

• Moral framework guiding choices and behaviors.

• Obligations to clients, employers, and the public.

• Promotes transparency and fairness in practice.

• Ensures responsible handling of sensitive data.

• Balances innovation with societal impact.

Benefits of Adherence

• Build long-term trust with stakeholders.

• Protect privacy & intellectual property rights.

• Ensure sustainable and ethical innovation.

• Enhance professional credibility.

Utilitarianism

Decisions based on consequences to maximize overall happiness for the

greatest number.

Deontology

Actions are judged by adherence to moral duties and universal rules, regardless of outcome.

Consequences of Ethical Lapses

• Erosion of Trust: Undermining public confidence.

• Data Misuse: Selling user data without consent.

• Societal Harm: Unforeseen negative impacts.

Virtue Ethics

Emphasizes the development of moral character and

virtues.

Rights-Based Ethics

Protects fundamental individual entitlements and

freedoms.

Kidder's Decision Process

Systematic approach to resolve 'right vs. right' dilemmas. Focus on

moral courage.

Lonergan/Bauer Model

Emphasizes understanding, judgment, and responsible action driven

by insights.

Markkula Center Framework

Practical steps to analyze ethical issues and guide reasoned choices

effectively.

IEEE Ethically Aligned Design

Focuses on human well-being, privacy, and transparency in

technology development.

Navigating Conflicting

Principles

Balance competing values like privacy, fairness,

and utility in AI systems.

Fostering an Ethical Culture

Integrate ethical considerations into every stage

of the technology lifecycle.

Continuous Learning &

Adaptation

Adapt to evolving tech and regulatory landscapes

through ongoing education.

Involving Diverse

Stakeholders

Engage broad representation in ethical

discussions to ensure inclusive outcomes.