Why developing ethical AI is important from the perspective of understanding ten of the most important risks. Over 20,000 views. Discusses technological dependency, job replacement, algorithmic bias, non-transparent decision making, value-misalignment, lethal autonomous weapons, re-writable goals, unintended consequences of goals and decisions, existential risk from super-intelligence, and heuristic manipulation.
Important Note
Content Editors rate, curate and regularly update what we believe are the top 11% of all AI resource and good practice examples and is why our content is rated from 90% to 100%. Content rated less than 90% is excluded from this site. All inclusions are vetted by experienced professionals with graduate level data science degrees.
In the broadest sense, any inclusion of content on this site is not an endorsement or recommendation of any service, product or content that may be discussed, recommended, endorsed or affiliated with the content, company or spokesperson. We are a 501(c)3 nonprofit and receive no website advertising monies or direct or indirect compensation for any content or other information on any of our websites. For more information, visit our TOS.
