时间:2024-09-20 06:43:48 来源:网络整理编辑:探索
Humans develop biases over time. We aren’t born with them. However, examples of gender, econom
Humans develop biases over time. We aren’t born with them. However, examples of gender, economic, occupational and racial bias exist in communities, industries and social contexts around the world. And while there are people leading initiatives to fundamentally change these phenomena in the physical world, it persists and manifests in new ways in the digital world.
In the tech world, bias permeates everything from startup culture to investment pitches during funding rounds to the technology itself. Innovations with world-changing potential don’t get necessary funding, or are completely overlooked, because of the demographic makeup or gender of their founders. People with non-traditional and extracurricular experiences that qualify them for coding jobs are being screened out of the recruitment process due to their varied backgrounds.
Now, I fear we’re headed down a similar path with Artificial Intelligence. AI technologies on the market are beginning to display intentional and unintentional biases – from talent search technology that groups candidate resumes by demographics or background to insensitive auto-fill search algorithms. It applies outside of the business world as well – from a social platform discerning ethnicity based on assumptions about someone’s likes and interests, to AI assistants being branded as female with gender-specific names and voices. The truth is that bias in AI will happen unless it’s built with inclusion in mind. The most critical step in creating inclusive AI is to recognize how bias infects the technology’s output and how it can make the ‘intelligence’ generated less objective.
We are at a crossroads.
The good news: it’s not too late to build an AI platform that conquers these biases with a balanced data set upon which AI can learn from and develop virtual assistants that reflect the diversity of their users.This requires engineers to responsibly connect AI to diverse and trusted data sources to provide relevant answers, make decisions they can be accountable for and reward AI based on delivering the desired result.
Broadly speaking, attaching gendered personas to technology perpetuates stereotypical representations of gender roles. Today, we see female presenting assistants (Amazon’s Alexa, Microsoft’s Cortana, Apple’s Siri) being used chiefly for administrative work, shopping and to conduct household tasks. Meanwhile, male presenting assistants (IBM’s Watson, Salesforce’s Einstein, Samsung’s Bixby) are being used for grander business strategy and complex, vertical-specific work.
I believe AI developers should take gender out of the virtual assistant picture completely. Give virtual assistants a personality. Give them a purpose. But let’s not give them a gender. After all, people use virtual assistants to access vital, relevant and sometimes incredibly random information. Assigning a gender adds no value to the human benefits found in this brand of technology.
The most human step in taking bias out of the equation is hiring a diverse team to code the AI innovations of tomorrow. Homogeneity limits and dilutes innovation. It’s absolutely vital for AI developers and innovators to hire talent from different cultures, backgrounds and educational pedigrees. AI engineers that create teams of people who approach challenges from different perspectives and embrace change will be more successful in creating AI that addresses real world business and consumer issues. The central goal of the AI community should be to build technologies that truly achieve diversity, inclusion and, ultimately, full equity through utility.
Ultimately, I think that AI presents the world (no exaggeration) with an opportunity to correct the all-too-human tendency toward both intentional and unconscious biases. In the tech world, this extends to humans interacting with technology in daily life. It impacts markets embracing new innovations, companies hiring from a diverse talent pool and venture capitalists listening to early stage investor pitches without prescreening who is delivering them. If humans can ethically and responsibly build – and continue to innovate upon – unbiased AI, they will play a small, but significant role in using technology to shift society in the necessary direction of acceptance and equality.
Kriti Sharma is the vice president of AI at Sage Group, a global integrated accounting, payroll and payment systems provider. She is also the creator of Pegg, the world’s first AI assistant for accounting, with users in 135 countries.
TopicsArtificial Intelligence
One of the most controversial power struggles in media comes to a close2024-09-20 06:19
花樣吹 !哈曼:別聊啥賽季末 萊萬30輪就能破40球2024-09-20 06:14
哈蘭德拒絕和梅羅對比 稱他們是足壇曆史最佳2024-09-20 06:13
曼聯前瞻:足總杯成兩強必爭賽場 博格巴或再發神威2024-09-20 05:41
Tourist survives for month in frozen New Zealand wilderness after partner dies2024-09-20 05:36
巴薩法國鈍槍聯袂破門 本季第二回 或仍遭集體清洗2024-09-20 05:28
蘇寧停運後一直推進後續事宜 起死回生?恐又要失望2024-09-20 05:20
吉翔發文深情告別江蘇隊 20年時光容我一一道別2024-09-20 04:48
Metallica to seek and destroy your eardrums with new album this fall2024-09-20 04:36
C羅帶不動!全場9射門一人扛球隊 賽後怒而離場2024-09-20 04:00
New Zealand designer's photo series celebrates the elegance of aging2024-09-20 06:31
切爾西前瞻:戰弱旅劍指15場不敗 妖鋒或延續神紀錄2024-09-20 06:09
哈蘭德或追隨父親披曼城球衣 瓜帥親自參與轉會2024-09-20 05:33
巴薩法國鈍槍聯袂破門 本季第二回 或仍遭集體清洗2024-09-20 05:04
How Hyperloop One went off the rails2024-09-20 05:01
米蘭全力競逐伊布替身 鋒線防線兩頭進補蓄力歐冠2024-09-20 04:58
曼聯VS萊斯特城首發 :馬夏爾領鋒線 B費替補待命2024-09-20 04:41
曹贇定已參加國足合練 團隊氣氛融洽期待比賽表現2024-09-20 04:25
Xiaomi accused of copying again, this time by Jawbone2024-09-20 04:10
亞泰一天兩練找聯賽緊張感 球員戰術執行力提升2024-09-20 04:01