Democratizing Artificial Intelligence To Benefit Everyone
Shaping a Better Future in the Smart Technology Era
In "Democratizing Artificial Intelligence to Benefit Everyone", Dr Jacques Ludik takes us not only on a holistic sense-making journey and lays a foundation to synthesize a more balanced view and better understanding of AI, its applications, its benefits, its risks, its limitations, its progress, and its likely future paths, but also taps into his wealth of experience, knowledge, and sense-making ability as a smart technology entrepreneur with a PhD in AI, founder of multiple AI companies and three decades of experience in AI and its applications world-wide. The book helps us to more accurately understand where we are heading given the current dynamics on a global and national economic and political level as well as across ideologies and industries. Specific solutions are also shared to address AI’s potential negative impacts, designing AI for social good and beneficial outcomes, building human-compatible AI that is ethical and trustworthy, addressing bias and discrimination, and the skills and competencies needed for a human-centric AI-driven workplace. Dr Ludik is specifically arguing for a more decentralized beneficial human-centric future where AI and its benefits can be democratized to as many people as possible. He specifically examines what it means to be human and living meaningfully in the 21st century and shares some ideas for reshaping our civilization for beneficial outcomes as well as various potential outcomes for the future of civilization. Dr Jacques Ludik also proposes a Massive Transformative Purpose for Humanity and associated goals that complement the United Nations’ 2030 vision and sustainable development goals to help shape a beneficial human-centric future in a decentralized hyperconnected world. As a practical step, he also invites people to participate in the development, deployment and use of a decentralized, human-centric, and user-controlled AI-driven super platform called Sapiens.