The People to AI Integration Jobs We Need but Aren't Thinking About Yet

The rise of artificial intelligence (AI) has sparked a variety of complex emotions across the globe and in every industry. Unfortunately, doing as we humans tend to do, some of the powers at be are attempting to use AI to gain more without giving back. The late poet Arthur O’Shaughnessy has excellently summed up what the rest of us have failed to truly comprehend. “We are the music makers, and we are the dreamer of dreams.” We are the creators of AI, and we are the ones who will dictate its existence, future, and the new roles that are needed to safeguard our human ways of working. If AI is corrupted, it’s because we have made it so.

On the other hand, the power of AI provides small businesses, freelancers, independent contractors, and minorities a rocket booster that allows us to run at pace with larger organizations that have more resources. It evolves our secret sauce: hyper-customized services and outside-of-the-box perspectives. We are the SEAL Team Six of the business world that can cut through the noise and deliver, and AI accelerates our capabilities. AI is the frosting, not the actual cake and should never be confused with the human experience.

There are a whole host of human-to-AI (always human-to-AI versus AI-to-human) related roles that have just landed on our shores. Human resources positions are now evolving into managing the relationships between humans and machines, and businesses need to start planning and upskilling their people now.

Roles to Define and Upskill?For

AIEOs (AI Ethics Officers)

Ethics in AI is a critical and complex domain that demands painstaking attention to upholding principles of fairness, accountability, transparency, and privacy. An AI Ethics Officer (AIEO) would play a pivotal role in ensuring the responsible development and deployment of artificial intelligence systems. Tasked with navigating the intricate ethical landscape surrounding AI technologies, their primary responsibility would lie in proactively identifying potential biases or discriminatory practices within algorithms or data sources used for training machine learning models. This involves conducting thorough audits to assess algorithmic decision-making processes for any unintended consequences or adverse impacts on individuals or marginalized groups.

Moreover, an AIEO would collaborate closely with cross-functional teams to develop comprehensive guidelines and policies that align with legal frameworks and dive deeper into the organization’s ethics and values. AIEOs would continuously advocate for fostering an inclusive approach by promoting diversity in datasets while striving for equitable representation across all facets of system design and implementation. Furthermore, these officers would regularly engage stakeholders from various backgrounds — including developers, policymakers, researchers, users, and ethicists — to promote dialogue around emerging ethical issues related to AI applications. By adopting a proactive stance on ethics in AI throughout the entire lifecycle of technological development and deployment processes, these professionals will play a crucial role in safeguarding the ethical creation of AI amid rapid advancements of its capabilities.

AIDEIOs (AI Diversity, Equity & Inclusion Officers)

In today’s rapidly evolving technological landscape, organizations must remain vigilant in fostering diversity, equity, inclusion, and belonging (DEIB) principles when employing artificial intelligence systems. While AI holds immense potential to streamline operations and enhance decision-making processes, it also carries the risk of perpetuating existing biases or reinforcing societal disparities. To ensure DEIB remains intact while utilizing AI, organizations should appoint AIDEIOs to shepherd the following processes.

First, it is crucial to promote diverse representation throughout AI systems’ development and deployment stages. This entails assembling interdisciplinary teams comprised of individuals from different backgrounds who can collectively challenge biases and contribute unique perspectives. Additionally, organizations should establish comprehensive guidelines that emphasize fairness and inclusivity during data collection, which would serve as the foundation for training algorithms. Rigorous scrutiny at each step is essential to identify any inherent bias present in datasets used for training the AI models since biased data leads to biased outcomes. Moreover, continuous monitoring and auditing of deployed AI applications is necessary to detect unintended consequences or discriminatory patterns that may arise over time.

Second, organizations need to regularly assess their AI system’s impact on marginalized communities and underrepresented groups by proactively seeking feedback from affected stakeholders through surveys or focus groups. It is imperative that any identified issues be promptly addressed with corrective measures implemented accordingly. Finally, fostering a culture of transparency around organizational adoption of AI technologies will help build trust among employees and external stakeholders alike regarding fair practices concerning DEIB principles — creating an environment where everyone feels valued irrespective of their identities.

H2AIISs (Human to AI Integration Specialists)

The ways of working between humans and artificial intelligence have become a paramount concern. If humans require intervention when collaborating with one another, it is only logical to anticipate an even greater need for intervention when engaging with AI systems. Just as human resources groups emerged as indispensable entities during World War I, so too are human-to-AI integrators, now emerging as crucial figures in this new era. These integrators serve as interlocutors, bridging the gap between advanced algorithms and human interaction, ensuring a seamless integration that optimizes efficiency and effectiveness in diverse professional settings.

With their profound understanding of both technological intricacies and nuanced interpersonal dynamics, these leaders must possess an invaluable skillset to navigate complexities inherent in merging human ingenuity with the transformative potential of artificial intelligence. In embracing these new ways of working alongside AI systems through skilled integration professionals, organizations can leverage cutting-edge technologies while safeguarding against unintended consequences or disruptions within their operations.

Human-Machine Collaboration Advocates

Human-Machine Collaboration Advocates will act as a subgroup and play a pivotal role under H2AIISs to tackle the holistic collaboration segments of this practice area at a grassroots level. Advocates would assume the crucial responsibility of acting as impartial mediators, expertly removing any obstacles that hinder effective human-machine cooperation. They will also serve as third-party mediators who remove barriers and empower people to optimize and train AI specifically for their role.

Operating on the front lines, these adept professionals are invaluable in aiding workforce transitions toward AI-integrated roles. They possess an acute understanding of preserving the human experience amid technological integration, ensuring that people stay connected to other people while embracing AI workflows in their daily tasks.

Conclusion

When it comes to AI, there is no denying that fear has become a prevalent sentiment. Yet, it’s essential to delve deeper and discern who truly holds the power in the AI revolution. As humans, we possess an invaluable advantage: our human experience. It is through our collective knowledge, compassion, and understanding that we can navigate this uncharted territory responsibly and ethically. By comprehending the true intentions and capabilities of those involved in AI development, we have the ability to distinguish between good actors — those committed to enhancing lives and augmenting human potential — and bad actors driven solely by self-interest or malicious intent. The future of AI rests firmly in our hands; as pioneers forging ahead into uncharted technological frontiers with humanity leading the charge.