AI takes my job!
AI makes my work more efficient!
Fear about the security and ethical aspects of AI?
Dream It Be It is the Soroptimist program that provides career support for high school girls by giving them the tools and resources needed to achieve their education and career goals. We aim to help girls grow up to be strong, successful, and happy adults.
Soroptimist Canada West Online & Soroptimist International of Vancouver are unraveling the mystery surrounding the profound impact of Artificial Intelligence on your careers and lives.
Begin your journey with us to AI !
Meet our Podcast Hosts:
Background of Artificial Intelligence
4 potential goals or definitions of AI, which differentiates computer systems on the basis of rationality and thinking vs. acting:
- Systems that think like humans
- Systems that act like humans
- Systems that think rationally
- Systems that act rationally
At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms which seek to create expert systems which make predictions or classifications based on input data.
The applications for this technology are growing every day, and we’re just starting to explore the possibilities. But as the hype around the use of AI in business takes off, conversations around ethics become critically important.
Ethics is a set of moral principles which help us discern between right and wrong. AI ethics is a multidisciplinary field that studies how to optimize AI’s beneficial impact while reducing risks and adverse outcomes. Examples of AI ethics issues include data responsibility and privacy, fairness, explainability, robustness, transparency, environmental sustainability, inclusion, moral agency, value alignment, accountability, trust, and technology misuse.
With the emergence of big data, companies have increased their focus to drive automation and data-driven decision-making across their organizations. While the intention there is usually, if not always, to improve business outcomes, companies are experiencing unforeseen consequences in some of their AI applications, particularly due to poor upfront research design and biased datasets.
As instances of unfair outcomes have come to light, new guidelines have emerged, primarily from the research and data science communities, to address concerns around the ethics of AI. Leading companies in the field of AI have also taken a vested interest in shaping these guidelines, as they themselves have started to experience some of the consequences for failing to uphold ethical standards within their products. Lack of diligence in this area can result in reputational, regulatory and legal exposure, resulting in costly penalties. As with all technological advances, innovation tends to outpace government regulation in new, emerging fields. As the appropriate expertise develops within the government industry, we can expect more AI protocols for companies to follow, enabling them to avoid any infringements on human rights and civil liberties.