Dangers of AI – Job Displacement
Why it matters: AI-driven automation precipitates job losses, altering career prospects and necessitating skill adaptation for survival.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Dangers Of AI – Dependence On AI
Why it matters: Dependence on AI raises concerns about losing critical thinking skills and becoming vulnerable to tech failures.
Dangers Of AI – Concentration Of Power
Why it matters: AI concentration of power risks creating societal imbalances, limits public discourse, and raises ethical concerns.
Dangers Of AI – Security Risks
Why it matters: AI security risks include data breaches, automated cyberattacks, and ethical gaps, posing challenges for privacy and accountability.
Dangers of AI – Ethical Dilemmas
Why it matters: AI’s ethical dilemmas include bias, accountability, job displacement, data misuse, and challenges to human autonomy.
Dangers of AI – Privacy Concerns
Why it matters: AI privacy concerns include data breaches, surveillance, loss of anonymity, and the potential misuse of personal information.
Dangers of AI – Bias and Discrimination
Why it matters: AI bias and discrimination can perpetuate societal inequalities, requiring ethical and technical solutions for fair outcomes.
What is Explainable AI and Why Is It Important?
Why it matters: Explainable AI aims to make machine learning models transparent, enhancing user trust and facilitating ethical, accountable decisions.
Dangers of AI – Lack of Transparency
Why it matters: AI transparency is crucial for ethical use, building public trust, and enabling accountability in algorithmic decision-making.
What Is A Turing Test?
Why it matters: The Turing Test evaluates a machine’s ability to exhibit human-like intelligence through natural language conversation.
